A Novel Semi-Supervised Fuzzy C-Means Clustering Algorithm Using Multiple Fuzzification Coefficients

A Novel Semi-Supervised Fuzzy C-Means Clustering Algorithm Using Multiple Fuzzification Coefficients

Clustering is an unsupervised machine learning method with many practical applications that has gathered extensive research interest. It is a technique of dividing data elements into clusters such that elements in the same cluster are similar. Clustering belongs to the group of unsupervised machine...

Full description

Bibliographic Details
Main Authors: Tran Dinh Khang, Manh-Kien Tran, Michael Fowler
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Algorithms
Subjects:
clustering technique
fuzzy C-means clustering
semi-supervised clustering
fuzzification coefficient
objective function
Online Access:https://www.mdpi.com/1999-4893/14/9/258

Internet

https://www.mdpi.com/1999-4893/14/9/258

Similar Items