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Structure Identification-Based Clustering According to Density Consistency
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-24
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Structure of data set is of critical importance in identifying clusters, especially the density difference feature.
In this paper, we present a clustering algorithm based on density consistency, which is a filtering process to identify same structure feature and classify them into same cluster.
This method is not restricted by the shapes and high dimension data set, and meanwhile it is robust to noises and outliers.
Extensive experiments on synthetic and real world data sets validate the proposed the new clustering algorithm.
American Psychological Association (APA)
Li, Chunzhong& Xu, Zongben. 2011. Structure Identification-Based Clustering According to Density Consistency. Mathematical Problems in Engineering،Vol. 2011, no. 2011, pp.1-14.
https://search.emarefa.net/detail/BIM-505777
Modern Language Association (MLA)
Li, Chunzhong& Xu, Zongben. Structure Identification-Based Clustering According to Density Consistency. Mathematical Problems in Engineering No. 2011 (2011), pp.1-14.
https://search.emarefa.net/detail/BIM-505777
American Medical Association (AMA)
Li, Chunzhong& Xu, Zongben. Structure Identification-Based Clustering According to Density Consistency. Mathematical Problems in Engineering. 2011. Vol. 2011, no. 2011, pp.1-14.
https://search.emarefa.net/detail/BIM-505777
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505777