Public Member Functions | Protected Member Functions

CNeighborhoodPreservingEmbedding Class Reference


Detailed Description

NeighborhoodPreservingEmbedding converter used to construct embeddings as described in:

He, X., Cai, D., Yan, S., & Zhang, H.-J. (2005). Neighborhood preserving embedding. Tenth IEEE International Conference on Computer Vision ICCV05 Volume 1, 2, 1208-1213. Ieee. Retrieved from http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1544858

This method is hardly applicable to very high-dimensional data due to necessity to solve eigenproblem involving matrix of size (dim x dim).

Definition at line 38 of file NeighborhoodPreservingEmbedding.h.

Inheritance diagram for CNeighborhoodPreservingEmbedding:
Inheritance graph
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List of all members.

Public Member Functions

 CNeighborhoodPreservingEmbedding ()
virtual ~CNeighborhoodPreservingEmbedding ()
virtual const char * get_name () const

Protected Member Functions

virtual SGMatrix< float64_tconstruct_embedding (CFeatures *features, SGMatrix< float64_t > matrix, int dimension)

Constructor & Destructor Documentation

constructor

Definition at line 25 of file NeighborhoodPreservingEmbedding.cpp.

destructor

Definition at line 30 of file NeighborhoodPreservingEmbedding.cpp.


Member Function Documentation

SGMatrix< float64_t > construct_embedding ( CFeatures features,
SGMatrix< float64_t matrix,
int  dimension 
) [protected, virtual]

constructs embedding

Parameters:
simple features to be used
matrix weight matrix
dimension dimension of embedding
Returns:
null-space approximation feature matrix

Definition at line 39 of file NeighborhoodPreservingEmbedding.cpp.

const char * get_name (  )  const [virtual]

get name

Reimplemented from CLocallyLinearEmbedding.

Definition at line 34 of file NeighborhoodPreservingEmbedding.cpp.


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SHOGUN Machine Learning Toolbox - Documentation