Clustering Using Boosted Constrained k-Means Algorithm

This article proposes a constrained clustering algorithm with competitive performance and less computation time to the state-of-the-art methods, which consists of a constrained k-means algorithm enhanced by the boosting principle. Constrained k-means clustering using constraints as background knowle...

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Bibliographic Details
Main Authors: Masayuki Okabe, Seiji Yamada
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-03-01
Series:Frontiers in Robotics and AI
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/frobt.2018.00018/full