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...

Full description

Saved in:

Bibliographic Details
Published in:	Science China. Information sciences Vol. 54; no. 10; pp. 2040 - 2050
Main Authors:	Wang, KaiJun, Yan, XuanHui, Chen, LiFei
Format:	Journal Article
Language:	English
Published:	Heidelberg SP Science China Press 01.10.2011 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!