Novel centroid selection approaches for KMeans-clustering based recommender systems-Reference-Cited by-同舟云学术

Novel centroid selection approaches for KMeans-clustering based recommender systems

Published:2015-11 Issue: Volume:320 Page:156-189
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zahra Sobia,Ghazanfar Mustansar Ali,Khalid Asra,Azam Muhammad Awais,Naeem Usman,Prugel-Bennett Adam

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference70 articles.

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3. K. Arai, A.R. Barakbah, Hierarchical K-means: An Algorithm for Centroids Initialization for K-means. Technical Report Faculty of Science and Engineering, Saga University, 2007.

4. k-means++: the advantages of careful seeding;Arthur,2007

5. FCM: the fuzzy c-means clustering algorithm;Bezdek;Comp. Geosci.,1984

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