Improved normalization and standardization techniques for higher purity in K-means clustering

Improved normalization and standardization techniques for higher purity in K-means clustering

Clustering is basically one of the major sources of primary data mining tools, which make researchers understand the natural grouping of attributes in datasets. Clustering is an unsupervised classification method with aim of partitioning, where objects in the same cluster are similar, and objects be...

Full description

Bibliographic Details
Main Authors: Dalatu, Paul Inuwa, Fitrianto, Anwar, Mustapha, Aida
Format: Article
Language:English
Published: Pushpa Publishing House 2016
Subjects:
Normalization; Standardization; K-means algorithm; Clustering; Purity; Rand index
Online Access:http://psasir.upm.edu.my/id/eprint/54519/
http://psasir.upm.edu.my/id/eprint/54519/1/Improved%20normalization%20and%20standardization%20techniques%20for%20higher%20purity%20in%20K-means%20clustering.pdf

Similar Items

Similar Items