environment. In this paper, various selected renowned clustering approaches are evaluated with regard to their pattern recognition … number of clusters, the main clustering application, and the performance evaluation. Hence, quantified Term Document Matrices … of clustering techniques by considering the information regarding the optimal number of clusters and by measuring the …

Gaussian and t-distribution analogues, mixtures of skew-t factor analyzers are very well-suited for model-based clustering of … data, giving superior clustering results when compared to a well-established family of Gaussian mixture models. …

This paper employs k-means clustering, a multidimensional pattern recognition method, to categorize countries using …

This paper employs k-means clustering, a multidimensional pattern recognition method, to categorize countries using …