Abstract: Clustering and Classification of Images Using ABC-FCM and Naive Bayes Classifier
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 112

Research Paper | Electronics & Communication Engineering | India | Volume 5 Issue 6, June 2016

Clustering and Classification of Images Using ABC-FCM and Naive Bayes Classifier

S. Praveena

This paper presents a hybrid clustering algorithm and Naive Bayes classifier for trees, shade, building and road. It starts with the single step preprocessing procedure to make the image suitable for clustering. The pre-processed image is clustered using the ABC-GA algorithm that is developed by hybridizing the ABC and genetic algorithm to obtain the effective clustering in satellite image and classified using Naive Bayes classifier. Classification accuracy of hybrid algorithm is found better than ABC.

Keywords: Clustering, classification, features extraction, Nave Bayes classifier, ABC-GA algorithm

Edition: Volume 5 Issue 6, June 2016

Pages: 2285 - 2288

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How to Cite this Article?

S. Praveena, "Clustering and Classification of Images Using ABC-FCM and Naive Bayes Classifier", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART201684, Volume 5 Issue 6, June 2016, 2285 - 2288

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