Spectral Feature Selection for Data Mining

✍ Scribed by Zheng Alan Zhao (Author); Huan Liu (Author)

Publisher: Chapman and Hall/CRC
Year: 2011
Leaves: 220
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervise

✦ Table of Contents

Data of High Dimensionality and Challenges. Univariate Formulations for Spectral Feature Selection. Multivariate Formulations. Connections to Existing Algorithms. Large-Scale Spectral Feature Selection. Multi-Source Spectral Feature Selection. References. Index.

✦ Subjects

Engineering & Technology;Systems & Control Engineering;Machine Learning;Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Computing

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