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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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Bibliografske podrobnosti
izdano v:Front Robot AI
Main Authors: Okabe, Masayuki, Yamada, Seiji
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2018
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7805652/
https://ncbi.nlm.nih.gov/pubmed/33500905
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2018.00018
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