Aug 28, 2009 · The clustering evaluation process indicated that the divergence‐based scheme exhibits appreciable tolerance in the presence of noise in ...
The purpose of this paper is to examine the usage of Kullback‐Leibler (KL) divergence, an information theoretic distance, as an alternative option for measuring ...
The purpose of this paper is to examine the usage of Kullback‐Leibler (KL) divergence, an information theoretic distance, as an alternative option for measuring ...
The purpose of this paper is to examine the usage of Kullback‐Leibler (KL) divergence, an information theoretic distance, as an alternative option for measuring ...
Papadimitriou, (2009),"A new approach to web users clustering and validation: a divergence-based scheme", International Journal of Web Information Systems,.
This paper examines the usage of Kullback-Leibler divergence, an information theoretic distance, in conjuction with the k-means clustering algorithm. It ...
Missing: scheme. | Show results with:scheme.
Oct 22, 2024 · Further to clustering it is important to evaluate the resulted clusters in order to choose the best clustering for a particular frame- work.
Missing: scheme. | Show results with:scheme.
A new deep clustering network that leverages the discriminative power of information-theoretic divergence measures, which have been shown to be effective in ...
Missing: web validation:
Aug 28, 2009 · The fourth paper “A new approach to web users clustering and validation: a divergence-based scheme” by Vassiliki A. ... web users clustering.
Oct 24, 2023 · In this article, we devise a novel internal CVI that can be regarded as a complementary measure to the landscape of available internal. CVIs.