Description
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.
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- 電子書籍
- 心の鎧の下ろし方
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- 洋書電子書籍
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誰でもわかる神経科学（第３版）
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