Improved clustering using robust and classical principal component

k-means algorithm is a popular data clustering algorithm. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. Finding the appropriate number of clusters for a given data set...

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Bibliographic Details
Main Author: Hassn, Ahmed Kadom
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/70922/1/FS%202017%2047%20UPM.pdf
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