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

标题
Tune Up Fuzzy C-Means for Big Data: Some Novel Hybrid Clustering Algorithms Based on Initial Selection and Incremental Clustering
作者
关键词
Big data, Density-based clustering, Fuzzy C-means, Grid-based clustering, Incremental clustering, Initial selection
出版物
International Journal of Fuzzy Systems
Volume 19, Issue 5, Pages 1585-1602
出版商
Springer Nature
发表日期
2016-10-03
DOI
10.1007/s40815-016-0260-3

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started