In this paper, we propose four methods to extract viewpoints and three methods to classify documents using matrix decomposition such as Nonnegative Matrix ...
Classification results are not unique and can vary according to the user's viewpoint. If a document classification system ignores the user's viewpoints, ...
In this study, we propose four methods to extract viewpoints and three methods to classify documents using Nonnegative Matrix Factorization (NMF) matrix ...
Non-negative matrix factorization (NMF) has previously been shown to be a useful decomposition for multivariate data. We interpret the factorization in a ...
Request PDF | On Jul 1, 2015, Kaname Maruta and others published Document Classification with Varied Viewpoints Using Matrix Decomposition | Find, ...
Document Classification with Varied Viewpoints Using Matrix Decomposition ... classification results can vary according to user's viewpoints of classification.
Oct 17, 2016 · ... matrix decomposition, such that I can use it to classify a different document set than the one used to originally generate it? In other ...
Missing: Varied Viewpoints
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Therefore a key problem for exploratory data analysis is the integration of multiple views to discover the under- lying structures in a domain. This problem is ...
Oct 1, 2024 · By utilizing the low rank structure of the label matrix, missing labels can be effectively recovered with matrix factorization technique.
Jul 23, 2007 · Then we will introduce our approach that jointly factorizes the document-term matrix and link matrix and obtains compact and highly indicative ...