Clustering of nonstationary data streams: A survey of fuzzy partitional methods
نویسندگان
چکیده
منابع مشابه
Fuzzy Partitional Clustering Algorithms
Fuzzy partitional clustering algorithms are widely used in pattern recognition field. Until now, more and more research results on them have been developed in the literature. In order to study these algorithms systematically and deeply, they are reviewed in this paper based on c-means algorithm, from metrics, entropy, and constraints on membership function or cluster centers. Moreover, the adva...
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This paper presents partitional fuzzy clustering methods based on adaptive quadratic distances. The methods presented furnish a fuzzy partition and a prototype for each cluster by optimizing an adequacy criterion based on adaptive quadratic distances. These distances change at each algorithm iteration and can either be the same for all clusters or different from one cluster to another. Moreover...
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متن کاملFuzzy Clustering of Parallel Data Streams
The management and processing of so-called data streams has recently become a topic of active research in several fields of computer science, notably database systems and data mining. A data stream can roughly be thought of as a transient, continuously increasing sequence of time-stamped data. In this paper, we consider the problem of clustering parallel streams of real-valued data, that is to ...
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ژورنال
عنوان ژورنال: WIREs Data Mining and Knowledge Discovery
سال: 2018
ISSN: 1942-4787,1942-4795
DOI: 10.1002/widm.1258