Online Variational Learning Using Finite Generalized Inverted Dirichlet Mixture Model with Feature Selection on Medical Data Sets

Author:

Kalra Meeta,Bouguila Nizar

Publisher

Springer International Publishing

Reference62 articles.

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2. Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui, and Yong Shi. Image segmentation via improving clustering algorithms with density and distance. Procedia Computer Science, 55:1015–1022, 2015. 3rd International Conference on Information Technology and Quantitative Management, ITQM 2015.

3. A Ajala Funmilola, OA Oke, TO Adedeji, OM Alade, and EA Adewusi. Fuzzy kc-means clustering algorithm for medical image segmentation. Journal of Information Engineering and Applications, ISSN, 22245782:2225–0506, 2012.

4. Atienza N., García-Heras J., Muñoz-Pichardo J.M., and Villa R. An application of mixture distributions in modelization of length of hospital stay. Statistics in Medicine, 27(9):1403–1420, 2008.

5. Meeta Kalra, Michael Osadebey, Nizar Bouguila, Marius Pedersen, and Wentao Fan. Online Variational Learning for Medical Image Data Clustering, pages 235–269. Springer International Publishing, 2020.

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