منابع مشابه
Extracting Prior Knowledge from Data Distribution to Migrate from Blind to Semi-Supervised Clustering
Although many studies have been conducted to improve the clustering efficiency, most of the state-of-art schemes suffer from the lack of robustness and stability. This paper is aimed at proposing an efficient approach to elicit prior knowledge in terms of must-link and cannot-link from the estimated distribution of raw data in order to convert a blind clustering problem into a semi-supervised o...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2000
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/16.5.411