Application Research on Cluster Analysis in Unsupervised Image Classification

Ha Dong Meng; Wen Bo Liu; Yu Chen Song

doi:10.4028/www.scientific.net/AMM.543-547.2270

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Application Research on Cluster Analysis in...

Application Research on Cluster Analysis in Unsupervised Image Classification

Abstract:

In order to improve the application effectiveness of cluster analysis in unsupervised image classification, a clustering algorithm based on density and adaptive density-reachable is designed and implemented. Compared with the classifying results of K-means and hierarchical method, it is evident that the algorithm has good effect on unsupervised image classification.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2270-2273

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2270

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Online since:

March 2014

Authors:

Ha Dong Meng*, Wen Bo Liu, Yu Chen Song

Keywords:

Clustering Algorithm, Image Classification, Unsupervised Classification

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* - Corresponding Author

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