I wonde开发者_StackOverflow社区r if there is a K-NN implementation uses this method. Python or Ruby will be more than great.
I am implementing K nearest neighbour algorithm for a very sparse data. I want to calculate the distance between a test instance and each sample in the training set, but I am confused.
I am doing remote sensing image classification. I am using the object-oriented method: first I segmented the image to different regions, then I extract t开发者_运维问答he features from regions such as
I am wondering if there is a built-in function in OpenCV that performs KNN ? If it exists how can I deal with i开发者_运维百科t .. I searched but I didn\'t find any useful thing
I need to know whether the Naive bayesian classifier can be used to generate multiple decisions. I couldn\'t
I currently have a reddit-clone type website. I\'m trying to recommend posts based on the posts that my users have previously liked.
I am building a classifier for some 2D data. I have some training data for which I know the classes and have plotted these on a graph to see the clustering.
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I have a NxM matrix and I want to compute the NxN matrix of Euclidean distances between the M points.In my problem, N is about 100,000.As I plan to use this matrix for a k-nearest neighbor algorithm,
So I want to be able to recognise patterns in images (such as a number 4), I have been reading about different algorithms and I would really like to use the Nearest Neighbour algorithm, it looks simpl
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