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- W4385366794 abstract "This chapter will discuss the application of Non-negative Matrix Factorization (NMF) in clustering multi-aspect data. We will begin by providing an overview of the NMF framework and its efficacy in clustering traditional data. Subsequently, we will explore NMF-based clustering methods specifically designed for multi-aspect data. Finally, the chapter will conclude by addressing existing gaps and suggesting future research directions. Overall, the chapter aims to demonstrate how NMF can be utilized as a powerful tool for clustering multi-aspect data, highlighting its strengths and potential areas of improvement." @default.
- W4385366794 created "2023-07-29" @default.
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- W4385366794 date "2023-01-01" @default.
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- W4385366794 title "Non-negative Matrix Factorization-Based Multi-aspect Data Clustering" @default.
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- W4385366794 doi "https://doi.org/10.1007/978-3-031-33560-0_2" @default.
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