Analysis of University Students’ Behavior Based on a Fusion K-Means Clustering Algorithm

Analysis of University Students’ Behavior Based on a Fusion K-Means Clustering Algorithm

With the development of big data technology, creating the ‘Digital Campus’ is a hot issue. For an increasing amount of data, traditional data mining algorithms are not suitable. The clustering algorithm is becoming more and more important in the field of data mining, but the traditional clustering a...

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Bibliographic Details
Main Authors: Wenbing Chang, Xinpeng Ji, Yinglai Liu, Yiyong Xiao, Bang Chen, Houxiang Liu, Shenghan Zhou
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
students’ behavior
K-Means
CFSFDP
SSE
density
distance
Online Access:https://www.mdpi.com/2076-3417/10/18/6566

Internet

https://www.mdpi.com/2076-3417/10/18/6566

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