New approaches to normalization techniques to enhance k-means clustering algorithm

• 主要な著者: Dalatu, Paul Inuwa, Midi, Habshah
• フォーマット: 論文
• 言語: English
• 出版事項: Institute for Mathematical Research, Universiti Putra Malaysia 2020
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/38339/1/3.%20Paul%20n%20Habshah.pdf; http://psasir.upm.edu.my/id/eprint/38339/; http://einspem.upm.edu.my/journal/fullpaper/vol14no1jan/3.%20Paul%20n%20Habshah.pdf

Clustering is fundamentally one of the leading origin of basic data mining tools, which makes researchers believe the normal grouping of attributes in datasets. The main aim of clustering is to ascertain similarities and arrangements with a large dataset by partitioning data into clusters. It is imp...