Spectral Feature Selection for Data Mining
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 framewo...
| Main Authors: | , |
|---|---|
| Format: | Book |
| Published: |
Chapman and Hall/CRC
2012
|
| Online Access: | View this record in EBSCOhost |
| Summary: | 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 |
|---|