{"id":20373,"date":"2023-06-24T16:28:00","date_gmt":"2023-06-24T14:28:00","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/dataset-with-large-amount-of-mixed-or-categorical-for-cluster-analysis\/"},"modified":"2023-06-24T16:28:00","modified_gmt":"2023-06-24T14:28:00","slug":"dataset-with-large-amount-of-mixed-or-categorical-for-cluster-analysis","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/dataset-with-large-amount-of-mixed-or-categorical-for-cluster-analysis\/","title":{"rendered":"Dataset With Large Amount Of Mixed Or Categorical For Cluster Analysis?"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>I&#8217;m looking for a dataset that contains a large amount of features (100+) for clustering purposes. I&#8217;m applying sparse clustering, which means that my method removes features that are not important for the clusters. Either a data set that only contains categorical variables, or a mix of numerical and categorical variables is fine.<\/p>\n<p>Does anyone have any ideas?<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/y_zh\"> \/u\/y_zh <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/14hu1hg\/dataset_with_large_amount_of_mixed_or_categorical\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/14hu1hg\/dataset_with_large_amount_of_mixed_or_categorical\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-20373 jlk' href='javascript:void(0)' data-task='like' data-post_id='20373' data-nonce='65e0e39b87' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-20373 lc'>0<\/span><\/a><\/div><\/div> <div class='status-20373 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>I&#8217;m looking for a dataset that contains a large amount of features (100+) for clustering purposes. I&#8217;m&#8230;<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-20373","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/20373","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=20373"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/20373\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=20373"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=20373"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=20373"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}