working of different classifying functions

1 次查看（过去 30 天）
divya r
divya r 2012-7-13
kNNclassify and NaiveBayes both classify sample data on the basis of its closest match. Which can also be thought of finding the euclidean dist between the sample and each of the training data to find the closest match.
What is the difference between each of the classifying function? Is it only on the basis of efficiency or is it different in it working as well.
I have talked about kNN and Naive Bayes because I am familiar only with these two.

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Classification 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by