Semi-supervised Clustering by Seeding
نویسندگان
چکیده
منابع مشابه
Efficiently detecting overlapping communities using seeding and semi-supervised learning
Seeding then expanding is a commonly used scheme to discover overlapping communities from a network. Most seeding methods existed are either too complexity to scale to large networks or too simple to select high-quality seeds; and the non-principled functions used by most expanding methods lead the poor performances when applied them on diverse networks. This paper proposes a new method which t...
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تاریخ انتشار 2002