What Clusters Are Generated by Normal Mixtures
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Model based cluster analysis is often carried out by estimation of the parameters of a normal mixture. But mixture components do not necessarily reflect the idea of a “cluster”. I discuss how to formalize the concept of “clusters” w.r.t. probability distributions on the real line by means of fixed point clusters, i.e., sets that do not contain any outlier and with respect to which the rest of the real line consists of outliers. The concept is applied to some normal mixtures
[1] Hans-Hermann Bock,et al. PROBABILITY MODELS AND HYPOTHESES TESTING IN PARTITIONING CLUSTER ANALYSIS , 1996 .
[2] Laurie Davies,et al. The identification of multiple outliers , 1993 .
[3] Hans-Hermann Bock,et al. Advances in data science and classification , 1998 .
[4] Christian Hennig,et al. Clustering and Outlier Identification: Fixed Point Cluster Analysis , 1998 .
[5] G. De Soete,et al. Clustering and Classification , 2019, Data-Driven Science and Engineering.