Simultaneous Unsupervised Learning of Disparate Clusterings
نویسندگان
چکیده
منابع مشابه
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult problem of uncovering disparate clusterings from the data in a totally unsupervised manner. We propose two new approaches for this problem. In the first approach we aim to find good clusterings of the data that are al...
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ژورنال
عنوان ژورنال: Statistical Analysis and Data Mining
سال: 2008
ISSN: 1932-1864,1932-1872
DOI: 10.1002/sam.10007