Nonnegative matrix factorization for spectral data analysis
نویسندگان
چکیده
منابع مشابه
Nonnegative Matrix Factorization for Spectral Data Analysis
Data analysis is pervasive throughout business, engineering and science. Very often the data to be analyzed is nonnegative, and it is often preferable to take this constraint into account in the analysis process. Here we are concerned with the application of analyzing data obtained using astronomical spectrometers, which provide spectral data which is inherently nonnegative. The identification ...
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The amount of data that is being produced has increased rapidly so has the various data mining methods with the aim of discovering hidden patterns and knowledge in the data. With this has raised the problem of confidential data being disclosed. This paper is an effort to not let those confidential data be disclosed. We apply constrained nonnegative matrix factorization (NMF) in order to achieve...
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ژورنال
عنوان ژورنال: Linear Algebra and its Applications
سال: 2006
ISSN: 0024-3795
DOI: 10.1016/j.laa.2005.06.025