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Clustering is an important unsupervised technique of data analysis to find the underlining information of the unlabelled data. Many clustering approaches have been developed and reported in the literature and some of them are widely applied in real world problems such as k-means and fuzzy k-means. However, when handling imbalanced data in which the classes have very different sizes, the performance...
Incremental clustering has been proposed to handle large datasets which can not fit into memory entirely. Single pass fuzzy c-means (SpFCM) and Online fuzzy c-means (OFCM) are two representative incremental fuzzy clustering methods. Both of them extend the scalability of fuzzy c-means (FCM) by processing the dataset chunk by chunk. However, due to the data sparsity and high-dimensionality, SpFCM and...
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