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| {"tstamp": 1723773168.0527, "task_type": "clustering", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1723773111.4756, "finish": 1723773168.0527, "ip": "", "conv_id": "50788a7548b34a43ba518321a7c900a7", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": ["the major city in US"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723773236.3819, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723773229.8509, "finish": 1723773236.3819, "ip": "", "conv_id": "bb85ed0b1a2346ee98c183269ce62cbb", "model_name": "text-embedding-3-large", "prompt": ["the major city in US", "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723773236.3819, "task_type": "clustering", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1723773229.8509, "finish": 1723773236.3819, "ip": "", "conv_id": "50788a7548b34a43ba518321a7c900a7", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": ["the major city in US", "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco", "Darth Vader", "Yoda", "Squirtle", "Gandalf", "Legolas", "Mickey Mouse", "Donald Duck", "Charizard"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723773512.9156, "task_type": "clustering", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1723773512.8312, "finish": 1723773512.9156, "ip": "", "conv_id": "fc182aada5a1495fac383e3650a06fa7", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": ["octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723773512.9156, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723773512.8312, "finish": 1723773512.9156, "ip": "", "conv_id": "353d690256994441a1b2e7f8c1777b52", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723773612.8322, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1723773612.6172, "finish": 1723773612.8322, "ip": "", "conv_id": "00a727e1627f441488bdfbb690744cc8", "model_name": "GritLM/GritLM-7B", "prompt": ["It's official! 1 Bitcoin = $10,000 USD", "Everyone who's trading BTC right now", "Age reversal not only achievable but also possibly imminent: Retro Biosciences", "MicroRNA regrows 90% of lost hair, study finds", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723773612.8322, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1723773612.6172, "finish": 1723773612.8322, "ip": "", "conv_id": "e877bae0afec4328835afe6e8c2a2595", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": ["It's official! 1 Bitcoin = $10,000 USD", "Everyone who's trading BTC right now", "Age reversal not only achievable but also possibly imminent: Retro Biosciences", "MicroRNA regrows 90% of lost hair, study finds", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723773667.1796, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1723773666.7728, "finish": 1723773667.1796, "ip": "", "conv_id": "00a727e1627f441488bdfbb690744cc8", "model_name": "GritLM/GritLM-7B", "prompt": ["It's official! 1 Bitcoin = $10,000 USD", "Everyone who's trading BTC right now", "Age reversal not only achievable but also possibly imminent: Retro Biosciences", "MicroRNA regrows 90% of lost hair, study finds", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?"], "ncluster": 5, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723773667.1796, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1723773666.7728, "finish": 1723773667.1796, "ip": "", "conv_id": "e877bae0afec4328835afe6e8c2a2595", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": ["It's official! 1 Bitcoin = $10,000 USD", "Everyone who's trading BTC right now", "Age reversal not only achievable but also possibly imminent: Retro Biosciences", "MicroRNA regrows 90% of lost hair, study finds", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?"], "ncluster": 5, "output": "", "ndim": "2D (press for 3D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723791402.9895, "task_type": "clustering", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1723791402.5942, "finish": 1723791402.9895, "ip": "", "conv_id": "eeb16bc223734184aff49ba1cd073ab1", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": ["PVC", "acrylic", "polypropylene", "polyethylene", "pruning shears", "wheelbarrow", "rake", "hoe", "trowel", "watering can", "Google Cloud", "IBM Cloud", "Azure", "DigitalOcean", "AWS", "penne", "ravioli", "anchoring bias", "hindsight bias", "confirmation bias", "dunning-kruger effect"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723791402.9895, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723791402.5942, "finish": 1723791402.9895, "ip": "", "conv_id": "3f1a9b58bfff4fb38c727bdacaa7a7f9", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["PVC", "acrylic", "polypropylene", "polyethylene", "pruning shears", "wheelbarrow", "rake", "hoe", "trowel", "watering can", "Google Cloud", "IBM Cloud", "Azure", "DigitalOcean", "AWS", "penne", "ravioli", "anchoring bias", "hindsight bias", "confirmation bias", "dunning-kruger effect"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723791712.4243, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723791712.3778, "finish": 1723791712.4243, "ip": "", "conv_id": "94e9d945b9a846379b22fe5129e46ff6", "model_name": "text-embedding-3-large", "prompt": ["Which test was devised to determine whether robots can think?"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723791712.4243, "task_type": "clustering", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1723791712.3778, "finish": 1723791712.4243, "ip": "", "conv_id": "e94235b30d454e46aa7c8fa7dccc0969", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": ["Which test was devised to determine whether robots can think?"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723813892.1947, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1723813891.8415, "finish": 1723813892.1947, "ip": "", "conv_id": "9ea24c7d8d954660b1411999e1328c60", "model_name": "GritLM/GritLM-7B", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723813892.1947, "task_type": "clustering", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1723813891.8415, "finish": 1723813892.1947, "ip": "", "conv_id": "48ed724bf4ce40e0aea8b6da154ffa65", "model_name": "text-embedding-004", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723883299.9429, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723883299.3404, "finish": 1723883299.9429, "ip": "", "conv_id": "a798b2a8763545b89177d4b736b9dab8", "model_name": "text-embedding-3-large", "prompt": ["If someone online buys something off of my Amazon wish list, do they get my full name and address?", "Package \"In Transit\" over a week. No scheduled delivery date, no locations. What's up?", "Can Amazon gift cards replace a debit card?", "Homesick GWS star Cameron McCarthy on road to recovery", "Accidently ordered 2 of an item, how do I only return 1? For free?", "Need help ASAP, someone ordering in my account", "So who's everyone tipping for Round 1?"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723883299.9429, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1723883299.3404, "finish": 1723883299.9429, "ip": "", "conv_id": "6eea0345676343d7a4e63d9f4d191b4c", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": ["If someone online buys something off of my Amazon wish list, do they get my full name and address?", "Package \"In Transit\" over a week. No scheduled delivery date, no locations. What's up?", "Can Amazon gift cards replace a debit card?", "Homesick GWS star Cameron McCarthy on road to recovery", "Accidently ordered 2 of an item, how do I only return 1? For free?", "Need help ASAP, someone ordering in my account", "So who's everyone tipping for Round 1?"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723883341.5297, "task_type": "clustering", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1723883340.8213, "finish": 1723883341.5297, "ip": "", "conv_id": "a798b2a8763545b89177d4b736b9dab8", "model_name": "text-embedding-3-large", "prompt": ["If someone online buys something off of my Amazon wish list, do they get my full name and address?", "Package \"In Transit\" over a week. No scheduled delivery date, no locations. What's up?", "Can Amazon gift cards replace a debit card?", "Homesick GWS star Cameron McCarthy on road to recovery", "Accidently ordered 2 of an item, how do I only return 1? For free?", "Need help ASAP, someone ordering in my account", "So who's everyone tipping for Round 1?", "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723883341.5297, "task_type": "clustering", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1723883340.8213, "finish": 1723883341.5297, "ip": "", "conv_id": "6eea0345676343d7a4e63d9f4d191b4c", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": ["If someone online buys something off of my Amazon wish list, do they get my full name and address?", "Package \"In Transit\" over a week. No scheduled delivery date, no locations. What's up?", "Can Amazon gift cards replace a debit card?", "Homesick GWS star Cameron McCarthy on road to recovery", "Accidently ordered 2 of an item, how do I only return 1? For free?", "Need help ASAP, someone ordering in my account", "So who's everyone tipping for Round 1?", "Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723883502.1395, "task_type": "clustering", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1723883501.7303, "finish": 1723883502.1395, "ip": "", "conv_id": "b8ccd9d6a42145adb83c03698f28826d", "model_name": "voyage-multilingual-2", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723883502.1395, "task_type": "clustering", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1723883501.7303, "finish": 1723883502.1395, "ip": "", "conv_id": "7999be83aa424785a1be77bbbe60f7bb", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": ["Shanghai", "Beijing", "Shenzhen", "Hangzhou", "Seattle", "Boston", "New York", "San Francisco"], "ncluster": 2, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723930420.5373, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1723930414.4148, "finish": 1723930420.5373, "ip": "", "conv_id": "5060ba8964f1479699e04119c7f6d2cb", "model_name": "GritLM/GritLM-7B", "prompt": ["RAM", "CPU", "hard drive", "GPU", "SSD", "power supply", "motherboard", "motorcycle", "bus", "airplane", "train", "boat", "bicycle", "car", "Colossus of Rhodes", "Statue of Zeus", "Mausoleum at Halicarnassus", "thriller", "fantasy", "horror", "historical fiction", "science fiction", "mystery"], "ncluster": 4, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723930420.5373, "task_type": "clustering", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1723930414.4148, "finish": 1723930420.5373, "ip": "", "conv_id": "bb3768978de5429d87c1c30366791992", "model_name": "voyage-multilingual-2", "prompt": ["RAM", "CPU", "hard drive", "GPU", "SSD", "power supply", "motherboard", "motorcycle", "bus", "airplane", "train", "boat", "bicycle", "car", "Colossus of Rhodes", "Statue of Zeus", "Mausoleum at Halicarnassus", "thriller", "fantasy", "horror", "historical fiction", "science fiction", "mystery"], "ncluster": 4, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723930510.7338, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1723930510.6117, "finish": 1723930510.7338, "ip": "", "conv_id": "71abc9e88f9740a69b7976c5c9e9773a", "model_name": "GritLM/GritLM-7B", "prompt": ["octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723930510.7338, "task_type": "clustering", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1723930510.6117, "finish": 1723930510.7338, "ip": "", "conv_id": "bbe02a4d43a9431e95c34328b65dcde3", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": ["octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723930605.7543, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1723930605.6332, "finish": 1723930605.7543, "ip": "", "conv_id": "71abc9e88f9740a69b7976c5c9e9773a", "model_name": "GritLM/GritLM-7B", "prompt": ["octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond", "spring", "summer", "fall", "winter", "silk", "cotton", "denim", "linen", "leather", "wool", "ravioli", "fusilli", "fettuccine", "penne", "linguine", "lasagna", "spaghetti", "blizzard", "drought", "fog", "Scrabble", "Clue"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723930605.7543, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723930605.6332, "finish": 1723930605.7543, "ip": "", "conv_id": "bbe02a4d43a9431e95c34328b65dcde3", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond", "spring", "summer", "fall", "winter", "silk", "cotton", "denim", "linen", "leather", "wool", "ravioli", "fusilli", "fettuccine", "penne", "linguine", "lasagna", "spaghetti", "blizzard", "drought", "fog", "Scrabble", "Clue"], "ncluster": 5, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723930660.7928, "task_type": "clustering", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1723930660.6016, "finish": 1723930660.7928, "ip": "", "conv_id": "71abc9e88f9740a69b7976c5c9e9773a", "model_name": "GritLM/GritLM-7B", "prompt": ["octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond", "spring", "summer", "fall", "winter", "silk", "cotton", "denim", "linen", "leather", "wool", "ravioli", "fusilli", "fettuccine", "penne", "linguine", "lasagna", "spaghetti", "blizzard", "drought", "fog", "Scrabble", "Clue", "peach", "apple", "mango", "kiwi", "French", "Spanish", "Arabic", "Mandarin", "English", "Hindi", "Russian", "OnePlus", "Huawei", "Samsung", "O", "AB", "A"], "ncluster": 4, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |
| {"tstamp": 1723930660.7928, "task_type": "clustering", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1723930660.6016, "finish": 1723930660.7928, "ip": "", "conv_id": "bbe02a4d43a9431e95c34328b65dcde3", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": ["octagon", "rectangle", "Temple of Artemis", "Colossus of Rhodes", "Statue of Zeus", "Lighthouse of Alexandria", "Hanging Gardens of Babylon", "Pyramids of Giza", "brunette", "black", "blonde", "redhead", "gray", "auburn", "white", "soccer", "basketball", "tennis", "baseball", "cricket", "ruby", "topaz", "diamond", "spring", "summer", "fall", "winter", "silk", "cotton", "denim", "linen", "leather", "wool", "ravioli", "fusilli", "fettuccine", "penne", "linguine", "lasagna", "spaghetti", "blizzard", "drought", "fog", "Scrabble", "Clue", "peach", "apple", "mango", "kiwi", "French", "Spanish", "Arabic", "Mandarin", "English", "Hindi", "Russian", "OnePlus", "Huawei", "Samsung", "O", "AB", "A"], "ncluster": 4, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"} | |