Clustering techniques for web mining

• المؤلف الرئيسي: Sanusi, Emil.
• مؤلفون آخرون: Chan Chee Keong
• 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/10356/40746

The project mainly focuses on the design and implementation of two newly proposed data clustering algorithms, namely Active Fuzzy Constrained Clustering (AFCC) and Semi-Supervised Heuristic Fuzzy Co-clustering with the Ruspini’s condition (SS-HFCR), for semi-supervised data analysis. The Active...