{"id":419,"date":"2021-03-27T13:11:15","date_gmt":"2021-03-27T13:11:15","guid":{"rendered":"https:\/\/dataexpertise.org\/?p=419"},"modified":"2023-05-23T08:10:35","modified_gmt":"2023-05-23T08:10:35","slug":"time-series-clustering-and-classification","status":"publish","type":"post","link":"https:\/\/dataexpertise.org\/?p=419","title":{"rendered":"Time series clustering and classification"},"content":{"rendered":"\n<p>This post will concentrate on the problem of time series clustering and classification. So before entering the technical details, what I mean from clustering and classification : <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Clustering :<\/strong> It is drawn from the non-supervised learning methods and consists of assigning a label to the entire time series data such that the objects (time series) in the same class represent the same dynamics over time. <\/li>\n\n\n\n<li><strong>Classification :<\/strong> It is drawn from the supervised learning class of methods and consists of determining the future states of a time series on the basis of some historical data. It can be done for each time series independently or over multiple time series simultaneously. In this case, I consider that time series are represented as categorical data and can be associated to the evolution of the state over time.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>This post will concentrate on the problem of time series clustering and classification. So before entering the technical details, what I mean from clustering and classification :<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"categories":[4],"tags":[],"class_list":["post-419","post","type-post","status-publish","format-standard","hentry","category-clustering"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/dataexpertise.org\/index.php?rest_route=\/wp\/v2\/posts\/419","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dataexpertise.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dataexpertise.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dataexpertise.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dataexpertise.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=419"}],"version-history":[{"count":2,"href":"https:\/\/dataexpertise.org\/index.php?rest_route=\/wp\/v2\/posts\/419\/revisions"}],"predecessor-version":[{"id":463,"href":"https:\/\/dataexpertise.org\/index.php?rest_route=\/wp\/v2\/posts\/419\/revisions\/463"}],"wp:attachment":[{"href":"https:\/\/dataexpertise.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=419"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dataexpertise.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=419"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dataexpertise.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}