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- W2362019975 abstract "Aiming to improve the quality and efficiency of clustering on bank loads data sets, this paper makes the following contributions: (1)define the new concepts of cluster’s diameter ; (2)propose a new approach called dimension reduction based on distance order to perform dimension reduction by a distance criterion as well as maintaining the quality of clustering. (3)propose a new self - Adaptive Sort Clustering Algorithm (ASCA)which can conduct effective clustering not only in one dimension but also in multidimension.(4)conduct extensive experiments to shows that ASCA can reduce the time of clustering when compared with Cobweb and K-means algorithms. the clustering time is reduced by 53%." @default.
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- W2362019975 date "2009-01-01" @default.
- W2362019975 modified "2023-09-27" @default.
- W2362019975 title "ASCA:A Fast and Self Adaptive Sort-Clustering Algorithm" @default.
- W2362019975 hasPublicationYear "2009" @default.
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