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...

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Vydané v:	Applied mathematics and nonlinear sciences Ročník 5; číslo 1; s. 1 - 10
Hlavní autori:	Xie, Ting, Liu, Ruihua, Wei, Zhengyuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Beirut Sciendo 01.01.2020 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Predmet:	62K86 Big Data Clustering Feature space means
ISSN:	2444-8656, 2444-8656
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