FINDIT: a fast and intelligent subspace clustering algorithm using dimension voting
نویسندگان
چکیده
The aim of this paper is to present a novel subspace clustering method named FINDIT. Clustering is the process of finding interesting patterns residing in the dataset by grouping similar data objects from dissimilar ones based on their dimensional values. Subspace clustering is a new area of clustering which achieves the clustering goal in high dimension by allowing clusters to be formed with their own correlated
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ورودعنوان ژورنال:
- Information & Software Technology
دوره 46 شماره
صفحات -
تاریخ انتشار 2004