Comparison of Distributed K-Means and Distributed Fuzzy C-Means Algorithms for Text Clustering

Comparison of Distributed K-Means and Distributed Fuzzy C-Means Algorithms for Text Clustering

Text clustering has been developed in distributed system due to increasing data. The popular algorithms like K-Means (KM) and Fuzzy C-Means (FCM) are combined with MapReduce algorithm in Hadoop Environment to be distributable and parallelizable. The problem is performance comparison between Distribu...

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Bibliographic Details
Main Authors: I Made Artha Agastya, Teguh Bharata Adji, Noor Akhmad Setiawan
Format: Article
Language:English
Published: Komunitas Ilmuwan dan Profesional Muslim Indonesia 2017-06-01
Series:Communications in Science and Technology
Subjects:
K-Means
FCM
Tanimoto Distance
MapReduce
Hadoop
Online Access:https://cst.kipmi.or.id/index.php/cst/article/view/46/16

Internet

https://cst.kipmi.or.id/index.php/cst/article/view/46/16

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