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python Programming Glossary: superviseduse scikit-learn to classify into multiple categories http://stackoverflow.com/questions/10526579/use-scikit-learn-to-classify-into-multiple-categories multiple categories Im trying to use on of scikit learn's supervised learning methods to classify pieces of text into one or more..
http://stackoverflow.com/questions/4502656/how-to-sort-my-paws recognize which paw is which and the problem reduces to a supervised classification With some additional wrinkles... Image recognition.. Image recognition is a bit harder than a normal supervised classification problem . Pattern Analysis To elaborate on the.. dimensional vectors. Unfortunately if we just use a normal supervised classification algorithm i.e. find which of the 4 patterns is..
Is it possible to specify your own distance function using Scikits.Learn K-Means Clustering? http://stackoverflow.com/questions/5529625/is-it-possible-to-specify-your-own-distance-function-using-scikits-learn-k-means rapidly metrics in high dim hit distance whiteout # vs unsupervised semi supervised svm #................................................................................. in high dim hit distance whiteout # vs unsupervised semi supervised svm #.................................................................................
Finding k-nearest neighbors for a given vector? http://stackoverflow.com/questions/5684370/finding-k-nearest-neighbors-for-a-given-vector nearest neighbors classification. k Nearest Neighbors is a supervised learning algorithm that classifies a new observation based the..
General approach to developing an image classification algorithm for Dilbert cartoons http://stackoverflow.com/questions/8108550/general-approach-to-developing-an-image-classification-algorithm-for-dilbert-car step the only criteria are that the technique is in the supervised category because you have assigned class labels to your data..
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