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

• 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 Poland
• Subjects: 62K86; Big Data; Clustering; Feature space; means

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...