Image Recognition Using Unsupervised Learning Based Automatic Fuzzy Clustering Algorithm

Author:

Tai V. V.,Ngoc L. T. K.

Publisher

Springer Singapore

Reference24 articles.

1. Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms, vol. 2981. Plenum Press, New York (2013)

2. Hoppner, F., Klawonn, F., Kruse, R., Runkler, T.: Fuzzy Cluster Analysis: Methods for Classification Data Analysis and Image Recognition. Wiley, New York (1999)

3. Kabade, R.S., Gaikwad, M.S.: Segmentation of brain tumour and its area calculation in brain MR images using k-mean clustering and fuzzy c - mean algorithm. Int. J. Comput. Sci. Eng. Technol. 4, 524–531 (2013)

4. Kavitha, P., Prabakaran, S.: A novel hybrid segmentation method with particle swarm optimization and fuzzy c-mean based on partitioning the image for detecting lung cancer. Int. J. Eng. Adv. Technol. 8, 1223–1227 (2019)

5. Leung, T., Malik, J.: Representing and recognizing the visual appearance of materials using three-dimensional textons. Int. J. Comput. Vis. 43, 29–44 (2001)

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