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HessianLocallyLinearEmbedding.cpp
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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) 2011-2013 Sergey Lisitsyn
8  * Copyright (C) 2011-2013 Berlin Institute of Technology and Max-Planck-Society
9  */
10 
13 #include <shogun/io/SGIO.h>
14 #include <shogun/lib/tapkee/tapkee_shogun.hpp>
15 
16 using namespace shogun;
17 
20 {
21 }
22 
24 {
25 }
26 
28 {
29  return "HessianLocallyLinearEmbedding";
30 };
31 
33 {
34  CKernel* kernel = new CLinearKernel((CDotFeatures*)features,(CDotFeatures*)features);
35  TAPKEE_PARAMETERS_FOR_SHOGUN parameters;
36  parameters.n_neighbors = m_k;
37  parameters.eigenshift = m_nullspace_shift;
38  parameters.method = SHOGUN_HESSIAN_LOCALLY_LINEAR_EMBEDDING;
39  parameters.target_dimension = m_target_dim;
40  parameters.kernel = kernel;
41  CDenseFeatures<float64_t>* embedding = tapkee_embed(parameters);
42  SG_UNREF(kernel);
43  return embedding;
44 }
45 
Computes the standard linear kernel on CDotFeatures.
Definition: LinearKernel.h:35
Features that support dot products among other operations.
Definition: DotFeatures.h:44
class LocallyLinearEmbedding used to embed data using Locally Linear Embedding algorithm described in...
#define SG_UNREF(x)
Definition: SGObject.h:55
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
The class Features is the base class of all feature objects.
Definition: Features.h:68
The Kernel base class.
Definition: Kernel.h:159
virtual CFeatures * apply(CFeatures *features)

SHOGUN Machine Learning Toolbox - Documentation