Entropy Weighting K-Means for high-dimensional data analysis

• المؤلف الرئيسي: Leonel Rahman.
• مؤلفون آخرون: Chen Lihui
• التنسيق: Final Year Project
• اللغة: English
• منشور في: 2010
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• الوصول للمادة أونلاين: http://hdl.handle.net/10356/39388
• المؤسسة: Nanyang Technological University

Entropy Weighting K-Means (EWKM) clustering is a new k-means type algorithm for clustering high-dimensional objects in subspaces. In high dimensional data, clustering process to calculate a weight for each dimension in each cluster and use the weight values to identify the subsets of important dimen...