Advances In Data Analysis And Classification

New advances In Symbolic Data Analysis And Spatial Classification
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Latent Class Model - Wikipedia
In statistics, a latent class model (LCM) relates a set of observed (usually discrete) multivariate variables to a set of latent variables. Modified to handle discrete data, this constrained analysis is known as LCA. ... Read Article

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Information science – interdisciplinary field primarily concerned with the analysis, collection, classification, manipulation in both study design and data analysis, Exact science – any field of science capable of accurate quantitative expression or precise predictions and ... Read Article

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Advances And Directions Of Research In Symbolic Data Analysis
Advances and directions of research in Symbolic Data Analysis. E. Diday. CEREMADE. Paris–Dauphine University. June 14, 2014 SDA Workshop – Tutorial ... Read Full Source

Advances In Data Analysis And Classification (ADAC)
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Night Vision For Bird- & Bat-friendly Offshore Wind Power
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International Federation Of Classification Societies Newsletter
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Non-negative Matrix Factorization - Wikipedia
Non-negative matrix factorization (NMF or NNMF), Spectral data analysis. NMF is also used to analyze spectral data; one such use is in the classification of space objects and debris. Scalable Internet distance prediction NMF is ... Read Article

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