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This Concept Map, created with IHMC CmapTools, has information related to: 14.3 Cluster Analysis, 14.3 Cluster Analysis uses algorithms such as Gaussian mixtures, properties that are dissimilar, similar within clusters, Gaussian mixtures is a soft version of K-means, the observations are partitioned into Groups, similar as given by a metric, properties that are similar, a metric depends on the application, objects with properties, 14.3 Cluster Analysis uses algorithms such as K-means, 14.3 Cluster Analysis aka data segmentation, dissimilar across clusters, Groups representing objects, Groups i.e. Clusters, dissimilar as given by a metric, 14.3 Cluster Analysis ascertains whether the observations are partitioned