Computational Methods of Feature Selection (Chapman & by Huan Liu,Hiroshi Motoda

By Huan Liu,Hiroshi Motoda

because of expanding calls for for dimensionality relief, learn on function choice has deeply and broadly improved into many fields, together with computational information, development reputation, computing device studying, info mining, and information discovery. Highlighting present examine concerns, Computational tools of characteristic Selection introduces the elemental options and ideas, cutting-edge algorithms, and novel purposes of this software.

The ebook starts by means of exploring unsupervised, randomized, and causal function choice. It then reviews on a few fresh result of empowering function choice, together with energetic function choice, decision-border estimate, using ensembles with autonomous probes, and incremental characteristic choice. this is often through discussions of weighting and native tools, similar to the ReliefF kinfolk, k-means clustering, neighborhood function relevance, and a brand new interpretation of reduction. The booklet for that reason covers textual content class, a brand new characteristic choice rating, and either constraint-guided and competitive function choice. the ultimate part examines purposes of function choice in bioinformatics, together with characteristic development in addition to redundancy-, ensemble-, and penalty-based function choice.

Through a transparent, concise, and coherent presentation of issues, this quantity systematically covers the foremost options, underlying rules, and creative purposes of characteristic choice, illustrating how this robust device can successfully harness titanic, high-dimensional information and switch it into priceless, trustworthy information.

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