Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization
نویسندگان
چکیده
منابع مشابه
Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization
A hybrid method called JointNMF is presented which is applied to latent information discovery from data sets that contain both text content and connection structure information. The new method jointly optimizes an integrated objective function, which is a combination of two components: the Nonnegative Matrix Factorization (NMF) objective function for handling text content and the Symmetric NMF ...
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ژورنال
عنوان ژورنال: Journal of Global Optimization
سال: 2017
ISSN: 0925-5001,1573-2916
DOI: 10.1007/s10898-017-0578-x