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KMeansMiniBatchImpl.h
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1 /*
2  * This program is free software; you can redistribute it and/or modify
3  * it under the terms of the GNU General Public License as published by
4  * the Free Software Foundation; either version 3 of the License, or
5  * (at your option) any later version.
6  *
7  * Written (W) 2014 Parijat Mazumdar
8  */
9 
10 #ifndef _MBKMEANS_H__
11 #define _MBKMEANS_H__
12 
13 
14 #include <stdio.h>
15 #include <shogun/lib/common.h>
16 #include <shogun/io/SGIO.h>
19 
20 namespace shogun
21 {
23 {
24  public:
33  static void minibatch_KMeans(int32_t k, CDistance* distance, int32_t batch_size, int32_t minib_iter, SGMatrix<float64_t> mus);
34 
35  private:
36  /* choose b integers between 0 and num-1
37  *
38  */
39  static SGVector<int32_t> mbchoose_rand(int32_t b, int32_t num);
40 };
41 }
42 #endif
float distance(CJLCoverTreePoint p1, CJLCoverTreePoint p2, float64_t upper_bound)
Class Distance, a base class for all the distances used in the Shogun toolbox.
Definition: Distance.h:80
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:16
static void minibatch_KMeans(int32_t k, CDistance *distance, int32_t batch_size, int32_t minib_iter, SGMatrix< float64_t > mus)

SHOGUN Machine Learning Toolbox - Documentation