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- W2114146593 abstract "In this work an ignorance-based fuzzy clustering algorithm is presented. The algorithm is based on the entropy-based clustering algorithm proposed by Yao et al. [14] In our proposal, we calculate the total ignorance instead of using the entropy at each data point to select the cluster centers. The experimental results show that the ignorance-based clustering improves the data classification made by the EFC in image segmentation." @default.
- W2114146593 created "2016-06-24" @default.
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- W2114146593 date "2010-09-01" @default.
- W2114146593 modified "2023-09-27" @default.
- W2114146593 title "IGNORANCE-BASED FUZZY CLUSTERING ALGORITHM" @default.
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- W2114146593 doi "https://doi.org/10.1142/s1469026810002884" @default.
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