Computer ScienceMathematics
DOI: 10.1007/s11634-010-0058-3

tlooto Summary

Several different hierarchical merging methods are proposed for different cluster concepts, based on the ridgeline analysis of modality of Gaussian mixtures, the dip test, the Bhattacharyya dissimilarity, a direct estimator of misclassification and the strength of predicting pairwise cluster memberships.

Abstract

Abstract is not available.

Citation format

HENNIG, C. Methods for merging gaussian mixture components. Advances in Data Analysis and Classification, 2010, 4: 3–34.