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

• 主要な著者: Dalatu, Paul Inuwa, Fitrianto, Anwar, Mustapha, Aida
• フォーマット: 論文
• 言語: English
• 出版事項: Pushpa Publishing House 2016
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/54519/1/Improved%20normalization%20and%20standardization%20techniques%20for%20higher%20purity%20in%20K-means%20clustering.pdf; http://psasir.upm.edu.my/id/eprint/54519/; http://www.pphmj.com/abstract/10134.htm

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...