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2011•Journal of Jishou UniversityRequires access

Improved Algorithm of Agglomerative Hierarchical Clustering

Xingzhong You

Open publisher page 2 citations

Abstract

Problems in agglomerative hierarchical clustering method are preseated when Euclid or Minkowski distance is the distance measure,and the causes for those problems are explored.Accordingly,an improved agglomerative hierarchical clustering algorithm according to the idea of fuzzy clustring is put forward.The reasonability and validity of this improved algorithm are proved through an example.

About this research paper

What this paper is about

Problems in agglomerative hierarchical clustering method are preseated when Euclid or Minkowski distance is the distance measure,and the causes for those problems are explored.Accordingly,an improved agglomerative hierarchical clustering algorithm according to the idea of fuzzy clustring is put forward.The reasonability and validity of this improved algorithm are proved through an example.

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Available abstract

Problems in agglomerative hierarchical clustering method are preseated when Euclid or Minkowski distance is the distance measure,and the causes for those problems are explored.Accordingly,an improved agglomerative hierarchical clustering algorithm according to the idea of fuzzy clustring is put forward.The reasonability and validity of this improved algorithm are proved through an example.

Key concepts: Hierarchical clustering, Hierarchical clustering of networks, Cluster analysis, Single-linkage clustering, Brown clustering, Computer science, Fuzzy clustering, Minkowski distance

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