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Výběr příznaků metodou Dynamická vzájemná informace / Feature Selection Based on Dynamic Mutual Information

This work analyzes and discuss a issue of implementation feature selection method called Dynamic mutual information (DMIFS). Original description of the DMIFS contains several irregularities, therefore DMIFS can not be implemented exactly as original method. Results of implemented DMIFS is compared with results of original DMIFS. This results shows that implemented DMIFS is similar to the DMIFS. Next part of the work describes design of two new methods based on the DMIFS. The first method called DmRMR merges mRMR and DMIFS. Better performance but worse stability of DmRMR was proved by several tests. The second method called WDMIFS is weighted version of the DMIFS based on AdaBoost algorithm. The WDMIFS has worse performance than DMIFS. Finnaly, manual for implementing DMIFS to RapidMiner and Weka is provided.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:221056
Date January 2014
CreatorsManga, Marek
ContributorsKlusáček, Jan, Honzík, Petr
PublisherVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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