{"id":4487,"date":"2026-07-29T17:02:49","date_gmt":"2026-07-29T15:02:49","guid":{"rendered":"https:\/\/ellistat.com\/?post_type=guide-dutilisateur&p=4487"},"modified":"2026-07-30T10:33:06","modified_gmt":"2026-07-30T08:33:06","slug":"unsupervised-classification","status":"publish","type":"guide-dutilisateur","link":"https:\/\/ellistat.com\/en\/guide-dutilisateur\/classification-non-supervisee\/","title":{"rendered":"Unsupervised classification"},"content":{"rendered":"

This analysis aims to group individuals into families<\/strong> without having defined the families in advance.<\/p>\n\n\n\n

Zone 1<\/strong> : The method and its options.<\/p>\n\n\n\n

\u21d2 K-means<\/strong> : For families of comparable size, you must specify their number; ;<\/p>\n\n\n\n

\u21d2 Binary Division<\/strong> : cuts the cloud in half, one half at a time; ;<\/p>\n\n\n\n

\u21d2 Gaussian mixtures<\/strong> : accommodates families with different shapes and dispersions; ;<\/p>\n\n\n\n

\u21d2 DBSCAN<\/strong> : figures out the number of families on his own and knows when to skip some points. Set by Epsilon<\/strong> (the neighborhood radius) and Minimum points<\/strong>.<\/p>\n\n\n\n

Number of clusters (K)<\/strong> Specifies the number of families for the first three methods. Initial value<\/strong> ensures that the result is reproducible from one calculation to the next.<\/p>\n\n\n\n

Zone 2<\/strong> : the cloud in the\u2019Principal Component Space (PCS)<\/strong>, in 2D or 3D, one color per group.<\/p>\n\n\n\n

Zone 3<\/strong> : For each variable, a test that answers the question: \u201cDoes this variable actually distinguish between the groups?\u201d\u2014a Fisher\u2019s test and a Kruskal-Wallis test, with their conclusions color-coded from highly significant to not significant.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\ud83d\udca1 Zone 3 validates the classification. Groups that appear clearly separated on the screen but for which no variables are significant have no business meaning: the partition exists in the graph, not in the data.<\/p>\n\n\n\n

\ud83d\udca1 The same classification is available directly in the ACP plot, under the \u00abUnsupervised Classification (K-Means)\u00bb box. The number displayed next to each point is its family<\/strong>.<\/p>\n\n\n\n

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