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Hierarchical Gaussian Mixture Model with Objects Attached to Terminal and Non-terminal Dendrogram Nodes

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arxiv 1603.08342 v1 pith:2GOLX5L3 submitted 2016-03-28 cs.LG cs.CV

{L}ukasz P. Olech , Mariusz Paradowski This is my paper · ORCID
classification cs.LGcs.CV
keywords hierarchicalmixturemodelobjectsabilitycontaingaussianlevels
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A hierarchical clustering algorithm based on Gaussian mixture model is presented. The key difference to regular hierarchical mixture models is the ability to store objects in both terminal and nonterminal nodes. Upper levels of the hierarchy contain sparsely distributed objects, while lower levels contain densely represented ones. As it was shown by experiments, this ability helps in noise detection (modelling). Furthermore, compared to regular hierarchical mixture model, the presented method generates more compact dendrograms with higher quality measured by adopted F-measure.

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