Re: question
Peter Reutemann <[email protected]> Tue, 9 Jan 2024 20:17:50 +1300
| Newsgroups | gmane.comp.ai.weka |
|---|---|
| Message-ID | <CAHoQ12+2Wed5oEWB13OHbAVfQtjYS+B8o8b-Vb7-zE=QCwDweg@mail.gmail.com> |
> Hello, I am doing a graduation project in the Weka program at my school. I have a question for you. What does distanceweighting (weight1/distance, weight/1-distance) mean for the knn algorithm? Have a look at the makeDistribution method of the IBk algorithm: https://git.cms.waikato.ac.nz/weka/weka/-/blob/a544f94bf46d456cf61fe6c4818fcbd60810c64c/trunk/weka/src/main/java/weka/classifiers/lazy/IBk.java#L849 Each instance in the determined neighborhood gets a weight associated. For a nominal class, it is used for calculating the class distribution. In case of a numeric class, this results in the regression value. Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, Hamilton, NZ Mobile +64 22 190 2375 https://www.cs.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/ _______________________________________________ Wekalist mailing list -- [email protected] Send posts to [email protected] To unsubscribe send an email to [email protected] To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html