Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
A new approach for measuring the validity of the fuzzy c-means algorithm
Advances in Engineering Software
On cluster validity for the fuzzy c-means model
IEEE Transactions on Fuzzy Systems
A PRML detector for a DVDR system
IEEE Transactions on Consumer Electronics
An improved FCM clustering method for interval data
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
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Algorithm of improved Fuzzy C-Means (FCM) clustering with preprocessing is analyzed and validated in the case of readout segmentation of photochromic optical disks. Characteristic of the readout and its differential coefficient and other knowledge are considered in the method, which makes it more applicable than the traditional FCM algorithm. The crest and trough segments could be divided clearly and the rising and falling edges could be located properly with the improved-FCM-based readout segmentation, which makes RLL encoding/decoding applicable to photochromic optical disks and makes the storage density increased. Further discussion proves the consistency of the segmentation method with PRML, and the improved-FCM-based detection could be regarded as an extension of PRML detection.