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K-means is a classical clustering algorithm.. Here you have a C++ code for K-means clustering . (Edit: 12/05/013) See also my more rece...
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Wikipedia describes the pseudo-code for computing the nearest neighbour (nn) on an already built KDtree. Here you have a boost implementatio...
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Adaboost is one of my favorite Machine Learning algorithm. The idea is quite intriguing: You start from a set of weak classifiers and learn...
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DBSCAN is a well-known clustering algorithm, which is easy to implement. Quoting Wikipedia: " Basically, a point q is directly densit...
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Skip lists are an interesting randomize data structure for storing pairs of . Skip lists have logaritmic search and insertion time. Here I ...
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typical recursive solution where we tentatively put a queen, if this doesn't violate conditions in column i. Then continue in submatrix...
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It can move either down or right and the board is N x M. How many path does the robot have? Solution: Steps are N+M and we can chose N, ...
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Ideally you should discuss all the different areas that are used
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PCA (Principal Component Analisys) is a classical machine learning method to reduce the dimensionality of a problem. PCA involves the calcu...
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Memory Mapped I/O is a crucial methodology for increasing I/O performance. The standard I/O approach is costly due to system call overhead ...
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50 = 13 + 13 + 13 + 11
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