VlKMeans

Members

Variables

algorithm

VlKMeansAlgorithm algorithm;

< Initalization algorithm.

centerDistances

void* centerDistances;

< Centers

centers

void* centers;

< Verbosity level.

dimension

vl_size dimension;

< Data type.

distance

VlVectorComparisonType distance;

< Clustring algorithm.

energy

double energy;

< Centers inter-distances.

floatVectorComparisonFn

VlFloatVectorComparisonFunction floatVectorComparisonFn;

< Current solution energy.

initialization

VlKMeansInitialization initialization;

< Maximum number of comparisons when using ANN-kmeans.

maxNumComparisons

vl_size maxNumComparisons;

< Number of trees in forest when using ANN-kmeans.

maxNumIterations

vl_size maxNumIterations;

< Distance.

minEnergyVariation

double minEnergyVariation;

< Maximum number of refinement iterations.

numCenters

vl_size numCenters;

< Data dimensionality.

numRepetitions

vl_size numRepetitions;

< Minimum energy variation.

numTrees

vl_size numTrees;

< Number of centers.

verbosity

int verbosity;

< Number of clustering repetitions.

• VlFloatVectorComparisonFunction
• vl_sift_pix
• vl_size

• VlKMeansAlgorithm
• VlKMeansInitialization

• VlKMeans
• VlSiftFilt
• VlSiftKeypoint