{"id":700,"date":"2022-02-11T17:40:07","date_gmt":"2022-02-11T17:40:07","guid":{"rendered":"http:\/\/databionics-institute.org\/?page_id=700"},"modified":"2022-02-14T09:18:42","modified_gmt":"2022-02-14T09:18:42","slug":"data","status":"publish","type":"page","link":"https:\/\/databionics-institute.org\/index.php\/data","title":{"rendered":"Data"},"content":{"rendered":"\n<p>The Fundamental Clustering Problems Suite (FCPS) provides a set of clustering problems that an algorithm should be able to solve in order to be rightly called a clustering algorithm. FCPS can thus be regarded as an elementary benchmark for clustering algorithms.<\/p>\n\n\n\n<p>FCPS contains data sets with known classification, which should be reproduced by the cluster algorithm. The data sets are deliberately kept simple and can be visualized in 2-3 dimensions. Each data set represents a specific problem, which is solved differently by known cluster algorithms. This allows the strengths and weaknesses of the algorithms to be identified. Standard clustering methods, such as single-linkage, Ward and k-means, are not able to solve all FCPS problems satisfactorily.<\/p>\n\n\n\n<p>FCPS can and should be used freely in scientific papers, provided that the following reference is cited in publications and\/or presentations:<\/p>\n\n\n\n<p><strong>Ultsch, A.<\/strong>: Clustering with SOM: U*C, In <em>Proc. Workshop on\nSelf-Organizing Maps, Paris, France<\/em>, (2005) , pp. 75-82<br><\/p>\n\n\n\n<p>Click <a href=\"https:\/\/cms.uni-marburg.de\/fb12\/arbeitsgruppen\/datenbionik\/downloads\/FCPS\">here<\/a>\u00a0for data (.zip)<\/p>\n\n\n\n<p>Click <a href=\"https:\/\/cms.uni-marburg.de\/fb12\/arbeitsgruppen\/datenbionik\/data\">here<\/a> for a detailed description. <br> <br> <\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Fundamental Clustering Problems Suite (FCPS) provides a set of clustering problems that an algorithm should be able to solve in order to be rightly called a clustering algorithm. FCPS can thus be regarded as an elementary benchmark for clustering algorithms. FCPS contains data sets with known classification, which should be reproduced by the cluster&hellip;&nbsp;<a href=\"https:\/\/databionics-institute.org\/index.php\/data\" class=\"\" rel=\"bookmark\">Read More &raquo;<span class=\"screen-reader-text\">Data<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-700","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/databionics-institute.org\/index.php\/wp-json\/wp\/v2\/pages\/700","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/databionics-institute.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/databionics-institute.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/databionics-institute.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/databionics-institute.org\/index.php\/wp-json\/wp\/v2\/comments?post=700"}],"version-history":[{"count":1,"href":"https:\/\/databionics-institute.org\/index.php\/wp-json\/wp\/v2\/pages\/700\/revisions"}],"predecessor-version":[{"id":706,"href":"https:\/\/databionics-institute.org\/index.php\/wp-json\/wp\/v2\/pages\/700\/revisions\/706"}],"wp:attachment":[{"href":"https:\/\/databionics-institute.org\/index.php\/wp-json\/wp\/v2\/media?parent=700"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}