Public Member Functions | Protected Member Functions | Static Protected Member Functions | Protected Attributes

CIsomap Class Reference


Detailed Description

the class Isomap used to preprocess data using K-Isomap algorithm as described in

Silva, V. D., & Tenenbaum, J. B. (2003). Global versus local methods in nonlinear dimensionality reduction. Advances in Neural Information Processing Systems 15, 15(Figure 2), 721-728. MIT Press. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.9.3407&rep=rep1&type=pdf

Shortest paths are being computed with Dijkstra's algorithm with heap in parallel. Due to sparsity of the kNN graph Fibonacci Heap with amortized O(1) Extract-Min operation time complexity is used.

It is possible to apply preprocessor to specified distance using apply_to_distance.

Definition at line 45 of file Isomap.h.

Inheritance diagram for CIsomap:
Inheritance graph
[legend]

List of all members.

Public Member Functions

 CIsomap ()
virtual ~CIsomap ()
const char * get_name () const
void set_k (int32_t k)
int32_t get_k () const

Protected Member Functions

virtual void init ()
 HELPERS.
virtual SGMatrix< float64_tprocess_distance_matrix (SGMatrix< float64_t > distance_matrix)
SGMatrix< float64_tisomap_distance (SGMatrix< float64_t > D_matrix)

Static Protected Member Functions

static void * run_dijkstra_thread (void *p)
 THREADS.

Protected Attributes

int32_t m_k
 FIELDS.

Constructor & Destructor Documentation

CIsomap (  ) 

Definition at line 56 of file Isomap.cpp.

~CIsomap (  )  [virtual]

Definition at line 68 of file Isomap.cpp.


Member Function Documentation

int32_t get_k (  )  const

getter for k parameter

Returns:
k value

Definition at line 78 of file Isomap.cpp.

const char * get_name (  )  const [virtual]

get name

Reimplemented from CMultidimensionalScaling.

Definition at line 83 of file Isomap.cpp.

void init (  )  [protected, virtual]

HELPERS.

default init

Reimplemented from CMultidimensionalScaling.

Definition at line 63 of file Isomap.cpp.

SGMatrix< float64_t > isomap_distance ( SGMatrix< float64_t D_matrix  )  [protected]

approximate geodesic distance with shortest path in kNN graph

Parameters:
D_matrix distance matrix (deleted on exit)
Returns:
approximate geodesic distance matrix

Definition at line 93 of file Isomap.cpp.

SGMatrix< float64_t > process_distance_matrix ( SGMatrix< float64_t distance_matrix  )  [protected, virtual]

process distance matrix (redefined in isomap, for mds does nothing)

Parameters:
distance_matrix distance matrix
Returns:
processed distance matrix

Reimplemented from CMultidimensionalScaling.

Definition at line 88 of file Isomap.cpp.

void * run_dijkstra_thread ( void *  p  )  [static, protected]

THREADS.

run dijkstra thread

Parameters:
p thread params

Definition at line 211 of file Isomap.cpp.

void set_k ( int32_t  k  ) 

setter for k parameter

Parameters:
k value

Definition at line 72 of file Isomap.cpp.


Member Data Documentation

int32_t m_k [protected]

FIELDS.

k, number of neighbors for K-Isomap

Definition at line 85 of file Isomap.h.


The documentation for this class was generated from the following files:
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