Tune Up Fuzzy C-Means for Big Data: Some Novel Hybrid Clustering Algorithms Based on Initial Selection and Incremental Clustering

Tune Up Fuzzy C-Means for Big Data: Some Novel Hybrid Clustering Algorithms Based on Initial Selection and Incremental Clustering

Data are getting larger, and most of them are necessary for our businesses. Rapid explosion of data brings us a number of challenges relating to its complexity and how the most important knowledge can be captured in reasonable time. Fuzzy C-means (FCM)—one of the most efficient clustering algorithm...

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書目詳細資料
Main Authors:	Le, Hoang Son, Nguyen, Dang Tien
格式:	Article
語言:	English
出版:	Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg 2019
主題:	Big Data Hybrid Clustering Algorithms Initial Selection Incremental Clustering
在線閱讀:	http://repository.vnu.edu.vn/handle/VNU_123/64979
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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