Study on the Influence of Diversity and Quality in Entropy Based Collaborative Clustering

The aim of collaborative clustering is to enhance the performances of clustering algorithms by enabling them to work together and exchange their information to tackle difficult data sets. The fundamental concept of collaboration is that clustering algorithms operate locally but collaborate by exchan...

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Bibliographic Details
Main Authors: Jérémie Sublime, Guénaël Cabanes, Basarab Matei
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/21/10/951