Editorial: Statistical learning methods including dimensionality reduction
DOI10.1016/j.csda.2007.04.012zbMath1452.00018OpenAlexW2059667279MaRDI QIDQ1020825
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Publication date: 2 June 2009
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2007.04.012
Computational methods for problems pertaining to statistics (62-08) Ridge regression; shrinkage estimators (Lasso) (62J07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Proceedings, conferences, collections, etc. pertaining to statistics (62-06) Collections of articles of miscellaneous specific interest (00B15)
Related Items (3)
Uses Software
Cites Work
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- Projected gradient approach to the numerical solution of the SCoTLASS
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- A simple and efficient method for variable ranking according to their usefulness for learning
- Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set
- Model-Based Gaussian and Non-Gaussian Clustering
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