Graph Regularized Semi-Supervised Concept Factorization
نویسندگان
چکیده
منابع مشابه
Dual-graph regularized concept factorization for clustering
In past decades, tremendous growths in the amount of text documents and images have become omnipresent, and it is very important to group them into clusters upon desired. Recently, matrix factorization based techniques, such as Non-negative Matrix Factorization (NMF) and Concept Factorization (CF), have yielded impressive results for clustering. However, both of them effectively see only the gl...
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Nonnegative matrix factorization (NMF) methods have proved to be powerful across a wide range of real-world clustering applications. Integrating multiple types of measurements for the same objects/subjects allows us to gain a deeper understanding of the data and refine the clustering. We have developed a novel Graph-reguarized multiview NMF-based method for data integration called EquiNMF. The ...
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ژورنال
عنوان ژورنال: Advanced Engineering Forum
سال: 2012
ISSN: 2234-991X
DOI: 10.4028/www.scientific.net/aef.6-7.583