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Improved cluster partition in principal component analysis guided clustering

Principal component analysis (PCA) guided clustering approach is widely used in high dimensional data to improve the efficiency of K- means cluster solutions. Typically, Pearson correlation is used in PCA to provide an eigen-analysis to obtain the associated components that account for most of the v...

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書誌詳細
主要な著者:	Shaharudin, S. M., Ahmad, Norhaiza, Yusof, Fadhilah
フォーマット:	論文
出版事項:	2013
主題:	Q Science
オンライン･アクセス:	http://eprints.utm.my/id/eprint/40261/ http://dx.doi.org/10.5120/13156-0839
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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