Data Mining Algorithms – EM Clusteringhttp://sqlblog.com/blogs/dejan_sarka/archive/2015/05/12/data-mining-algorithms-em-clustering.aspxWith the K-Means algorithm, each object is assigned to exactly one cluster. It is assigned to this cluster with a probability equal to 1.0. It is assigned to all other clusters with a probability equal to 0.0. This is hard clustering. Instead of distance,enCommunityServer 2.1 SP2 (Build: 61129.1)re: Data Mining Algorithms – EM Clusteringhttp://sqlblog.com/blogs/dejan_sarka/archive/2015/05/12/data-mining-algorithms-em-clustering.aspx#58653Wed, 13 May 2015 11:29:28 GMT21093a07-8b3d-42db-8cbf-3350fcbf5496:58653Dennis Mark Thorsen<p>Nice explanation. The EM algorithm is indeed a beautiful algorithm.</p>re: Data Mining Algorithms – EM Clusteringhttp://sqlblog.com/blogs/dejan_sarka/archive/2015/05/12/data-mining-algorithms-em-clustering.aspx#58655Wed, 13 May 2015 12:54:42 GMT21093a07-8b3d-42db-8cbf-3350fcbf5496:58655Dejan Sarka<p>Thanks:-)</p>