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gmm.h File Reference

GMM (Gaussian Mixture Models (GMM)) More...

`#include "kmeans.h"`

## Typedefs

typedef OPAQUE | VlGMM
| GMM quantizer.

## Enumerations

enum | VlGMMInitialization { VlGMMKMeans, VlGMMRand, VlGMMCustom }
| GMM initialization algorithms. More...

## Functions

void | vl_gmm_set_means (VlGMM *self, void const *means)
| Explicitly set the initial means for EM. More...
void | vl_gmm_set_covariances (VlGMM *self, void const *covariances)
| Explicitly set the initial sigma diagonals for EM. More...
void | vl_gmm_set_priors (VlGMM *self, void const *priors)
| Explicitly set the initial priors of the gaussians. More...
Create and destroy
VlGMM * | vl_gmm_new (vl_type dataType, vl_size dimension, vl_size numComponents)
| Create a new GMM object. More...
VlGMM * | vl_gmm_new_copy (VlGMM const *gmm)
| Create a new GMM object by copy. More...
void | vl_gmm_delete (VlGMM *self)
| Deletes a GMM object. More...
void | vl_gmm_reset (VlGMM *self)
| Reset state. More...
Basic data processing
double | vl_gmm_cluster (VlGMM *self, void const *data, vl_size numData)
| Run GMM clustering - includes initialization and EM. More...
Fine grained data processing
void | vl_gmm_init_with_rand_data (VlGMM *self, void const *data, vl_size numData)
| Initialize mixture before EM takes place using random initialization. More...
void | vl_gmm_init_with_kmeans (VlGMM *self, void const *data, vl_size numData, VlKMeans *kmeansInit)
| Initializes the GMM using KMeans. More...
double | vl_gmm_em (VlGMM *self, void const *data, vl_size numData)
| Invoke the EM algorithm. More...
Set parameters
void | vl_gmm_set_num_repetitions (VlGMM *self, vl_size numRepetitions)
| Set maximum number of repetitions. More...
void | vl_gmm_set_max_num_iterations (VlGMM *self, vl_size maxNumIterations)
| Set maximum number of iterations. More...
void | vl_gmm_set_verbosity (VlGMM *self, int verbosity)
| Set verbosity level. More...
void | vl_gmm_set_initialization (VlGMM *self, VlGMMInitialization init)
| Set initialization algorithm. More...
void | vl_gmm_set_kmeans_init_object (VlGMM *self, VlKMeans *kmeans)
| Set KMeans initialization object. More...
void | vl_gmm_set_covariance_lower_bounds (VlGMM *self, double const *bounds)
| Set the lower bounds on diagonal covariance values. More...
void | vl_gmm_set_covariance_lower_bound (VlGMM *self, double bound)
| Set the lower bounds on diagonal covariance values. More...
Get parameters
void const * | vl_gmm_get_means (VlGMM const *self)
| Get means. More...
void const * | vl_gmm_get_covariances (VlGMM const *self)
| Get covariances. More...
void const * | vl_gmm_get_priors (VlGMM const *self)
| Get priors. More...
void const * | vl_gmm_get_posteriors (VlGMM const *self)
| Get posteriors. More...
vl_type | vl_gmm_get_data_type (VlGMM const *self)
| Get data type. More...
vl_size | vl_gmm_get_dimension (VlGMM const *self)
| Get data dimension. More...
vl_size | vl_gmm_get_num_repetitions (VlGMM const *self)
| Get maximum number of repetitions. More...
vl_size | vl_gmm_get_num_data (VlGMM const *self)
| Get the number of data points. More...
vl_size | vl_gmm_get_num_clusters (VlGMM const *self)
| Get the number of clusters. More...
double | vl_gmm_get_loglikelihood (VlGMM const *self)
| Get the log likelihood of the current mixture. More...
int | vl_gmm_get_verbosity (VlGMM const *self)
| Get verbosity level. More...
vl_size | vl_gmm_get_max_num_iterations (VlGMM const *self)
| Get maximum number of iterations. More...
VlGMMInitialization | vl_gmm_get_initialization (VlGMM const *self)
| Get initialization algorithm. More...
VlKMeans * | vl_gmm_get_kmeans_init_object (VlGMM const *self)
| Get KMeans initialization object. More...
double const * | vl_gmm_get_covariance_lower_bounds (VlGMM const *self)
| Get the lower bound on the diagonal covariance values. More...

## Detailed Description

Author
  David Novotny
  Andrea Vedaldi

## Enumeration Type Documentation

enum VlGMMInitialization

Enumerator
VlGMMKMeans | Initialize GMM from KMeans clustering.
VlGMMRand | Initialize GMM parameters by selecting points at random.
VlGMMCustom | User specifies the initial GMM parameters.

## Function Documentation

double vl_gmm_cluster | ( | VlGMM * | self,
|  | void const * | data,
|  | vl_size | numData
| ) |  |

Parameters

  self | GMM object instance.
  data | data points which should be clustered.
  numData | number of data points.

void vl_gmm_delete | ( | VlGMM * | self | ) |

Parameters

  self | GMM object instance.

The function deletes the GMM object instance created by vl_gmm_new.

double vl_gmm_em | ( | VlGMM * | self,
|  | void const * | data,
|  | vl_size | numData
| ) |  |

Parameters

  self | GMM object instance.
  data | data points which should be clustered.
  numData | number of data points.

double const* vl_gmm_get_covariance_lower_bounds | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  lower bound on covariances.

void const* vl_gmm_get_covariances | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  diagonals of cluster covariance matrices.

vl_type vl_gmm_get_data_type | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  data type.

vl_size vl_gmm_get_dimension | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  data dimension.

VlGMMInitialization vl_gmm_get_initialization | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  initialization algorithm.

VlKMeans* vl_gmm_get_kmeans_init_object | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  kmeans initialization object.

double vl_gmm_get_loglikelihood | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  loglikelihood.

vl_size vl_gmm_get_max_num_iterations | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  maximum number of iterations.

void const* vl_gmm_get_means | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  cluster means.

vl_size vl_gmm_get_num_clusters | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  number of clusters.

vl_size vl_gmm_get_num_data | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  number of data points.

vl_size vl_gmm_get_num_repetitions | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  current number of repretitions for quantization.

void const* vl_gmm_get_posteriors | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  posterior probabilities of cluster memberships.

void const* vl_gmm_get_priors | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  priors of cluster gaussians.

int vl_gmm_get_verbosity | ( | VlGMM const * | self | ) |

Parameters

  self | object

Returns
  verbosity level.

void vl_gmm_init_with_kmeans | ( | VlGMM * | self,
|  | void const * | data,
|  | vl_size | numData,
|  | VlKMeans * | kmeansInit
| ) |  |

Parameters

  self | GMM object instance.
  data | data points which should be clustered.
  numData | number of data points.
  kmeansInit | KMeans object to use.

void vl_gmm_init_with_rand_data | ( | VlGMM * | self,
|  | void const * | data,
|  | vl_size | numData
| ) |  |

Parameters

  self | GMM object instance.
  data | data points which should be clustered.
  numData | number of data points.

VlGMM* vl_gmm_new | ( | vl_type | dataType,
|  | vl_size | dimension,
|  | vl_size | numComponents
| ) |  |

Parameters

  dataType | type of data (VL_TYPE_FLOAT or VL_TYPE_DOUBLE)
  dimension | dimension of the data.
  numComponents | number of Gaussian mixture components.

Returns
  new GMM object instance.

VlGMM* vl_gmm_new_copy | ( | VlGMM const * | self | ) |

Parameters

  self | object.

Returns
  new copy.

Most parameters, including the cluster priors, means, and covariances are copied. Data posteriors (available after initalization or EM) are not; nor is the KMeans object used for initialization, if any.

void vl_gmm_reset | ( | VlGMM * | self | ) |

Parameters

  self | object.

The function reset the state of the GMM object. It deletes any stored posterior and other internal state variables.

void vl_gmm_set_covariance_lower_bound | ( | VlGMM * | self,
|  | double | bound
| ) |  |

Parameters

  self | object.
  bound | bound.

While there is one lower bound per dimension, this function sets all of them to the specified scalar. Use vl_gmm_set_covariance_lower_bounds to set them individually.

void vl_gmm_set_covariance_lower_bounds | ( | VlGMM * | self,
|  | double const * | bounds
| ) |  |

Parameters

  self | object.
  bounds | bounds.

There is one lower bound per dimension. Use vl_gmm_set_covariance_lower_bound to set all of them to a given scalar.

void vl_gmm_set_covariances | ( | VlGMM * | self,
|  | void const * | covariances
| ) |  |

Parameters

  self | GMM object instance.
  covariances | initial values of covariance matrix diagonals.

void vl_gmm_set_initialization | ( | VlGMM * | self,
|  | VlGMMInitialization | init
| ) |  |

Parameters

  self | object
  init | initialization algorithm.

void vl_gmm_set_kmeans_init_object | ( | VlGMM * | self,
|  | VlKMeans * | kmeans
| ) |  |

Parameters

  self | object
  kmeans | initialization KMeans object.

void vl_gmm_set_max_num_iterations | ( | VlGMM * | self,
|  | vl_size | maxNumIterations
| ) |  |

Parameters

  self | VlGMM filter.
  maxNumIterations | maximum number of iterations.

void vl_gmm_set_means | ( | VlGMM * | self,
|  | void const * | means
| ) |  |

Parameters

  self | GMM object instance.
  means | initial values of means.

void vl_gmm_set_num_repetitions | ( | VlGMM * | self,
|  | vl_size | numRepetitions
| ) |  |

Parameters

  self | object
  numRepetitions | maximum number of repetitions. The number of repetitions cannot be smaller than 1.

void vl_gmm_set_priors | ( | VlGMM * | self,
|  | void const * | priors
| ) |  |

Parameters

  self | GMM object instance.
  priors | initial values of the gaussian priors.

void vl_gmm_set_verbosity | ( | VlGMM * | self,
|  | int | verbosity
| ) |  |

Parameters

  self | object
  verbosity | verbosity level.