Description: In the original fcm algorithm based on the number of clusters on the algorithm and the weighted index m given c preferred method, and then out of the fcm parameter optimization adaptive algorithm, artificial data and data validation with real background can be seen that algorithm is effective, the adaptive algorithm can give the best clustering number, and can verify the validity of clustering, to achieve the best clustering purposes.
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- [wfcm] - Weight Fuzzy C-means Algorithm Based on
- [GA-FCM] - Improved genetic algorithm fuzzy C-means
- [FCM_KFCM] - fcm kfcm segmentation
- [yiqunsuanfamatlabyuanma] - Ant colony clustering algorithm, a usefu
- [mrf] - An introduction to Markov random fields,
- [sfcm] - Join neighborhood information, spatial f
- [PSOGARBF] - Elementary particle swarm optimization a
- [008] - Paper on fuzzy C. Mean (FCM) clustering
- [FCM] - Based on matlab HCM and FCM written proc
File list (Check if you may need any files):
FCM算法中参数的优选方法及实例应用.pdf
fcmC.m
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