Improved cluster partition in principal component analysis guided clustering

• المؤلفون الرئيسيون: Shaharudin, S. M., Ahmad, Norhaiza, Yusof, Fadhilah
• التنسيق: مقال
• منشور في: 2013
• الموضوعات: Q Science
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/40261/; http://dx.doi.org/10.5120/13156-0839

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...