Do you know any similar Kaggle competitions to this one?
\n\nAs I wrote here https://www.kaggle.com/c/trackml-particle-identification/discussion/56646 I wonder can we use any kind of supervised learning.
\n\nThe problem is, we are going to do clustering only, we can also think about it as classification with huge number of classes, id of class doesn't matter and each event is different, so we can't learn.
\n\nI was trying to find anything similar on Kaggle, but failed, can you help me with that?
", "messages": [ { "id": "329972", "postDate": "05/17/2018 18:01:08", "content": "Do you know any similar Kaggle competitions to this one?
\n\nAs I wrote here https://www.kaggle.com/c/trackml-particle-identification/discussion/56646 I wonder can we use any kind of supervised learning.
\n\nThe problem is, we are going to do clustering only, we can also think about it as classification with huge number of classes, id of class doesn't matter and each event is different, so we can't learn.
\n\nI was trying to find anything similar on Kaggle, but failed, can you help me with that?
", "rawMarkdown": "Do you know any similar Kaggle competitions to this one?\n\nAs I wrote here https://www.kaggle.com/c/trackml-particle-identification/discussion/56646 I wonder can we use any kind of supervised learning.\n\nThe problem is, we are going to do clustering only, we can also think about it as classification with huge number of classes, id of class doesn't matter and each event is different, so we can't learn.\n\nI was trying to find anything similar on Kaggle, but failed, can you help me with that?", "votes": null }, { "id": "330035", "postDate": "05/17/2018 21:48:53", "content": "We (organizers and as far as we understood from our Kaggle contacts) are not aware of any similar past competitions !
", "rawMarkdown": "We (organizers and as far as we understood from our Kaggle contacts) are not aware of any similar past competitions !", "votes": null }, { "id": "330036", "postDate": "05/17/2018 21:50:47", "content": "Thanks, this is what I was afraid :)
", "rawMarkdown": "Thanks, this is what I was afraid :)", "votes": null }, { "id": "330046", "postDate": "05/17/2018 22:53:56", "content": "I also looked for previous competitions and didn't find much, but there are some kernels out there for categorical analysis in general, if you're just looking for some things to gloss over while you try to get creative:
\n\nhttps://www.kaggle.com/vijjikiran/clustering-of-categorical-data
\n\nhttps://www.kaggle.com/daniel89/mercedes-cars-clustering
\n\nhttps://www.kaggle.com/dhanyajothimani/basic-visualization-and-clustering-in-python
\n\nProbably not quite what you wanted, but I guess it is something?
", "rawMarkdown": "I also looked for previous competitions and didn't find much, but there are some kernels out there for categorical analysis in general, if you're just looking for some things to gloss over while you try to get creative:\n\nhttps://www.kaggle.com/vijjikiran/clustering-of-categorical-data\n\nhttps://www.kaggle.com/daniel89/mercedes-cars-clustering\n\nhttps://www.kaggle.com/dhanyajothimani/basic-visualization-and-clustering-in-python\n\nProbably not quite what you wanted, but I guess it is something?", "votes": null } ], "comments": [ { "id": 330035, "author_name": "droussea", "author_url": "", "post_date": "05/17/2018 21:48:53", "content": "We (organizers and as far as we understood from our Kaggle contacts) are not aware of any similar past competitions !
", "votes": null, "replies": [ { "id": 330036, "author_name": "jacekpoplawski", "author_url": "", "post_date": "05/17/2018 21:50:47", "content": "Thanks, this is what I was afraid :)
", "votes": null, "replies": [] }, { "id": 330046, "author_name": "macfarll", "author_url": "", "post_date": "05/17/2018 22:53:56", "content": "I also looked for previous competitions and didn't find much, but there are some kernels out there for categorical analysis in general, if you're just looking for some things to gloss over while you try to get creative:
\n\nhttps://www.kaggle.com/vijjikiran/clustering-of-categorical-data
\n\nhttps://www.kaggle.com/daniel89/mercedes-cars-clustering
\n\nhttps://www.kaggle.com/dhanyajothimani/basic-visualization-and-clustering-in-python
\n\nProbably not quite what you wanted, but I guess it is something?
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "329972": "Do you know any similar Kaggle competitions to this one?\n\nAs I wrote here https://www.kaggle.com/c/trackml-particle-identification/discussion/56646 I wonder can we use any kind of supervised learning.\n\nThe problem is, we are going to do clustering only, we can also think about it as classification with huge number of classes, id of class doesn't matter and each event is different, so we can't learn.\n\nI was trying to find anything similar on Kaggle, but failed, can you help me with that?", "330035": "We (organizers and as far as we understood from our Kaggle contacts) are not aware of any similar past competitions !", "330036": "Thanks, this is what I was afraid :)", "330046": "I also looked for previous competitions and didn't find much, but there are some kernels out there for categorical analysis in general, if you're just looking for some things to gloss over while you try to get creative:\n\nhttps://www.kaggle.com/vijjikiran/clustering-of-categorical-data\n\nhttps://www.kaggle.com/daniel89/mercedes-cars-clustering\n\nhttps://www.kaggle.com/dhanyajothimani/basic-visualization-and-clustering-in-python\n\nProbably not quite what you wanted, but I guess it is something?" }, "source": "meta" }