To effectuate Renyi entropy based graph clustering, we propose a simulated annealing algorithm. We explore our algorithm's efficacy and limitations with the ...
Abstract: We revisit a Renyi entropy based measure introduced originally for image clustering [1], and study its application to graph clustering.
Abstract: We revisit a Renyi entropy based measure introduced originally for image clustering [1], and study its application to graph clustering.
To effectuate Renyi entropy based graph clustering, a simulated annealing algorithm is proposed and its efficacy and limitations with the Karate club graph, ...
Our test statistic is based on the likelihood ratio test previously formulated by Kulldorff and Nagarwalla for circular clusters. A new technique of adaptive ...
Entropy-based Graph Clustering - A Simulated Annealing Approach
dl.acm.org › doi › ISITA.2018.8664249
28 Oct 2018 · We revisit a Renyi entropy based measure introduced originally for image clustering [1], and study its application to graph clustering.
Browsing "SPMS Conference Papers" by Subject Clustering Algorithms ; 2018, Entropy-based graph clustering - a simulated annealing approach ...
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Simulated annealing is used to find a near-optimal partitioning with respect to each of several clustering criteria for a variety of simulated data sets. This ...
25 Feb 2021 · This article explores a graph clustering method that is derived from an information theoretic method that clusters points in R n relying on Renyi entropy.
The development carried out in this study is to apply rejection less methods or without rejected moves methods based on the research done by Greene and Supowit ...