Geometric double-entity model for recognizing far-near relations of clusters

When solving many practical problems, we not only need sample labels given by a clustering algorithm, but also rely on the recognition of far-near relations of clusters. Under the difficult condition of many clusters in a high-dimensional data set, the clustering visualization methods based on dimen...

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Vydané v:	Science China. Information sciences Ročník 54; číslo 10; s. 2040 - 2050
Hlavní autori:	Wang, KaiJun, Yan, XuanHui, Chen, LiFei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Heidelberg SP Science China Press 01.10.2011 Springer Nature B.V
Predmet:	Algorithms Borders China Clustering Clusters Computer Science Datasets Information Systems and Communication Service Mathematical models Recognition Research Papers 几何可视化方法实体模型显示错误聚类算法距离和集群高维空间 partitional clustering algorithms geometric double-entity model far-near relations of clusters distance between clusters
ISSN:	1674-733X, 1869-1919
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