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PageRank is a similar eigenvalue based algorithm and I think PCA can be seen as a relaxation of k-means so they sort of did. But yes, if i wrote the list it ei
by micro_cam 13y ago
PageRank is a similar eigenvalue based algorithm and I think PCA can be seen as a relaxation of k-means so they sort of did.
But yes, if i wrote the list it eigenvector based methods would be more prominent.
Also If I wrote it the tree based methods would have been replaced with random forests which are similar to CART but use the crucial ideas of sample bagging and random feature subsets which have proven themselves over and over.
I think it may just be out of date.
- jessaustin 13y agoAny suggestions for something more recent?
- micro_cam 13y agoThe machine learning reddit recently started a faq: http://www.reddit.com/r/MachineLearning/comments/20i0vi/meta_collection_of_links_for_beginners_faq/ http://www.reddit.com/r/MachineLearning/comments/20i0vi/meta... They also have a good selection of articles though they tend to be somewhat deep learning/neural network focused. These algorithms have seen a big surge in interest and success of late but may not be as applicable to "data mining" (as opposed to say image or speech recognition).