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- W1480041378 abstract "Gaining confidence that a clustering algorithm has produced meaningful results and not an accident of its usually heuristic optimization is central to data mining. This is the issue of cluster validity. We propose here a method by which proximity graphs are used to effectively detect border points and measure the margin between clusters. With analysis of boundary situation, we design a framework and relevant working principles to evaluate the separation and compactness in the clustering results. The method can obtain an insight into the internal structure in clustering result." @default.
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- W1480041378 date "2004-01-01" @default.
- W1480041378 modified "2023-09-27" @default.
- W1480041378 title "Cluster validity through graph-based boundary analysis" @default.
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