2024-03-19T07:57:16Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/5074
2022-03-24T23:14:22Z
1582963302567:1597824273898
user-ucsy
Comparative Analysis of K-means Algorithm and Fuzzy C-means Algorithm
Zaw, Hnin Htet Htet
Data clustering is an important area ofdata mining. This is an unsupervised study wheredata of similar types are put into one cluster whiledata of another types are put into differentcluster.In K-means, data is divided into crispclusters, where each data point belongs to exactlyone cluster. In FCM, a point can belong to allgroups with different membership grades between0 and 1.This paper presents the comparison of theperformance analysis of K-means algorithm andFuzzy C-means (FCM) algorithm using twodatasets from UCI in terms of entropy andaverage computational time
2017-12-27
http://hdl.handle.net/20.500.12678/0000005074
https://meral.edu.mm/records/5074