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You can use a Columb exemplar algorithm for an alternate to K-means. According to several white papers (Duta) it learns faster with fewer exemplars.
by runamuck 2y ago
You can use a Columb exemplar algorithm for an alternate to K-means. According to several white papers (Duta) it learns faster with fewer exemplars.
- StableAlkyne 2y agoI'm having trouble finding anything about this algorithm online, would you be able to link a review or one of those white papers you mentioned?
- krick 2y agoWould be nice to see some more concrete data/references. This is a big claim. I mean, if it is "basically the same" but "faster and requires fewer examples" you can just say that it's "strictly better" than K-means, and stop using K-means ever. However, everybody is aware of K-means and personally it's the first time I hear about "Columb exemplar algorithm".