NDLI: ICSA based projection pursuit clustering with LDA index and its application in SAR image segmentation

Content Provider	IEEE Xplore Digital Library
Author	Shuiping Gou Jing Feng Licheng Jiao Xiao He
Copyright Year	2009
Description	Author affiliation: Key Laboratory of Intelligent Perception and Image Understanding for the Ministry of Education, Institute of Intelligent Information Processing, Xidian University, Xi'an 710071, China (Shuiping Gou; Jing Feng; Licheng Jiao; Xiao He)
Abstract	The performance of the traditional clustering algorithm is not always satisfied with the high-dimensional datasets, which make clustering method limited in many application. To solve this problem, Projection Pursuit with LDA index based on Immune Clonal Selection Algorithm is proposed in this paper. Projection pursuit strategy can maintain consistent Euclidean distances between points in the low-dimensional embeddings where the ICSA is used to search optimal projection direction. In the proposed algorithm, k-mean clustering algorithm is used to partition the reduced data and give labels to LDA index, and iterations have been done for several times can converge quickly to obtain a clustering result. The experimental results on UCI data show that the present method has better clustering accuracy compared with traditional linear dimension reduction method for principle component analysis (PCA). And the experiments on SAR image segmentation also have a good performance.
Starting Page	701
Ending Page	704
File Size	221884
Page Count	4
File Format	PDF
ISBN	9781424427314
DOI	10.1109/APSAR.2009.5374107
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	K-means Projection Pursuit Clustering methods SAR image segmentation Scattering Optimization methods Partitioning algorithms Image segmentation Clustering algorithms LDA index Linear discriminant analysis Immune Clonal select Algorithm Pursuit algorithms Synthetic aperture radar Principal component analysis
Content Type	Text
Resource Type	Article

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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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