A modified K-means clustering for mining of multimedia databases based on dimensionality reduction and similarity measures-Reference-Cited by-同舟云学术

A modified K-means clustering for mining of multimedia databases based on dimensionality reduction and similarity measures

Published:2017-06-02 Issue:1 Volume:21 Page:797-804
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Jiang Xiaoping,Li Chenghua,Sun Jing

Funder

General Program of the Natural Science Fund of Hubei Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/article/10.1007/s10586-017-0949-6/fulltext.html

Reference28 articles.

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2. Manjunath, T.N., Hegadi, R.S., Ravikumar, G.K.: A survey on multimedia data mining and its relevance today. Int. J. Comput. Sci. Netw. Secur. 10(11), 165–170 (2010)

3. Bhatt, C.A., Kankanhalli, M.S.: Multimedia data mining: state of the art and challenges. Multimed. Tools Appl. 51, 35–76 (2011)

4. Bhatt, C., Kankanhalli, M.: Probabilistic temporal multimedia data mining. ACM Trans. Intell. Syst. Technol. vol. 2, no. 2, Article 17 (2011)

5. Kamde, P.M., Algur, S.P.: A survey on web multimedia mining. arXiv:1109.1145 (2011)

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