Improvement of the Fast Clustering Algorithm Improved by K-Means in the Big Data

Clustering as a fundamental unsupervised learning is considered an important method of data analysis, and -means is demonstrably the most popular clustering algorithm. In this paper, we consider clustering on feature space to solve the low efficiency caused in the Big Data clustering by -means. Diff...

Full description

Bibliographic Details

Published in:	Applied mathematics and nonlinear sciences Vol. 5; no. 1; pp. 1 - 10
Main Authors:	Xie, Ting, Liu, Ruihua, Wei, Zhengyuan
Format:	Journal Article
Language:	English
Published:	Beirut Sciendo 01.01.2020 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Subjects:	62K86 Big Data Clustering Feature space means
ISSN:	2444-8656, 2444-8656
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!