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A cluster validity index for fuzzy partitions has two functions. One is to identify the number of clusters of an unlabeled data set. The other is to assess the clustering result of an unlabeled data set. The first function has been thoroughly investigated. However, no researchers attach importance to the second function. This paper devises an experiment to investigate the second function of current...
With the large amount of information (large number of daily load curves) for one consumer or one group of consumers, the classification and building the representative load curve (RLC) are necessary. The RLC can be built in the set of similar load curves by clustering analysis. This paper presents a Fuzzy clustering technique to determine RLC on the basis of their electricity behavior. Fuzzy K-Means...
Although fuzzy c-means classifier has been proved preferable to crisp ones and various types of fuzzy c-means classifiers have been designed, none of them are universal enough to perform equally well in all cases. A promising direction for more robust fuzzy c-means classification is to derive multiple candidate fuzzy c-means classification over a common dataset and then combine them into a consolidate...
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