Struct vlfeat_sys::_VlKMeans

#[repr(C)]
pub struct _VlKMeans {
    pub dataType: vl_type,
    pub dimension: vl_size,
    pub numCenters: vl_size,
    pub numTrees: vl_size,
    pub maxNumComparisons: vl_size,
    pub initialization: VlKMeansInitialization,
    pub algorithm: VlKMeansAlgorithm,
    pub distance: VlVectorComparisonType,
    pub maxNumIterations: vl_size,
    pub minEnergyVariation: f64,
    pub numRepetitions: vl_size,
    pub verbosity: c_int,
    pub centers: *mut c_void,
    pub centerDistances: *mut c_void,
    pub energy: f64,
    pub floatVectorComparisonFn: VlFloatVectorComparisonFunction,
    pub doubleVectorComparisonFn: VlDoubleVectorComparisonFunction,
}

---

** @brief K-means quantizer

Fields

dataType: vl_type

< Data type.

dimension: vl_size

< Data dimensionality.

numCenters: vl_size

< Number of centers.

numTrees: vl_size

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

maxNumComparisons: vl_size

< Maximum number of comparisons when using ANN-kmeans.

initialization: VlKMeansInitialization

< Initalization algorithm.

algorithm: VlKMeansAlgorithm

< Clustring algorithm.

distance: VlVectorComparisonType

< Distance.

maxNumIterations: vl_size

< Maximum number of refinement iterations.

minEnergyVariation: f64

< Minimum energy variation.

numRepetitions: vl_size

< Number of clustering repetitions.

verbosity: c_int

< Verbosity level.

centers: *mut c_void

< Centers

centerDistances: *mut c_void

< Centers inter-distances.

energy: f64

< Current solution energy.

floatVectorComparisonFn: VlFloatVectorComparisonFunction

doubleVectorComparisonFn: VlDoubleVectorComparisonFunction

Trait Implementations

impl Debug for _VlKMeans

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.

impl Copy for _VlKMeans

impl Clone for _VlKMeans

fn clone(&self) -> Self

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.