Fuzzy Clustering With Knowledge Extraction and Granulation
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DOI: 10.1109/tfuzz.2022.3195033
Abstract: Knowledge-based clustering algorithms can improve traditional clustering models by introducing domain knowledge to identify the underlying data structure. While there have been several approaches to clustering with the guidance of knowledge tidbits, most of them… read more here.
Keywords: knowledge extraction; granular knowledge; extraction granulation; knowledge ... See more keywords