Clustering techniques for web mining

• 主要作者: Sanusi, Emil.
• 其他作者: Chan Chee Keong
• 格式: Final Year Project
• 語言: English
• 出版: 2010
• 主題: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• 在線閱讀: 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...