NDLI: Spectral clustering algorithm based on K-nearest neighbor measure

Content Provider	IEEE Xplore Digital Library
Author	Li Hong Ye Qingwei Zhao Tingkai
Copyright Year	2010
Description	Author affiliation: College of Information Science and Engineering, Ningbo University, China (Ye Qingwei; Zhao Tingkai) \|\| College of Science and Technology, Ningbo University, China (Li Hong)
Abstract	Analysing the defect on different similarity matrix in spectral clustering, we propose a new algorithm—Spectral clustering algorithm based on K-nearest neighbor measure. The K-nearest neighbor measure focuses on using data points between the common number of nearest neighbors to measure the degree of similarity, and avoids the degree of similarity is large and unstable by contrast. The experiment results show the efficiency and performance of the algorithm. Meanwhile, the algorithm effectively resolves the problem that two data points belonging to different clusters are close. It possesses the advantage of discriminating the clusters with variable density, and also has the advantage of clustering in a sample space of any shape.
Starting Page	5399
Ending Page	5402
File Size	336655
Page Count	4
File Format	PDF
ISBN	9781424476169
e-ISBN	9781424476183
DOI	10.1109/ICISE.2010.5688810
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Iris Image segmentation Laplace equations Frequency modulation Clustering algorithms Laplacian Matrix K-Nearest Neighbor Classification algorithms Spectral Clustering Similarity Measure
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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