Clustering techniques for web mining
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...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2010
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| Online Access: | http://hdl.handle.net/10356/40746 |