MetricKnn API
Fast Similarity Search using the Metric Space Approach
Public Attributes | List of all members
MknnKmeansAlgorithm Struct Reference

Public Attributes

MknnDatasetdataset
 
MknnDistancedistance
 
bool release_distance
 
int64_t num_vectors
 
int64_t num_dimensions
 
int64_t num_centroids
 
struct EndParameters end
 
int64_t max_threads
 
char * filenameAutoSaveState
 
MknnDatatype default_centroids_datatype
 
double secondsToPrintInfo
 
double secondsAutoSaveState
 
char * paramsIndex
 
char * paramsResolver
 
MyVectorObj * subsetsRuns
 
int64_t savedPriorNumIterations
 
double savedPriorSeconds
 
int64_t contIterationsSameAssignations
 
int64_t * assignations
 
bool release_assignations
 
MknnDatasetcentroids
 
bool release_centroids
 
MknnDistancedistance_euclideanSquared
 
MknnDistanceEval ** distEvals_euclideanSquared_vector2centroid
 
MknnDistanceEval ** distEvals_vector2centroid
 
MknnDistanceEval ** distEvals_centroid2centroid
 
my_function_copy_vector func_copy_centroid2centroid
 
my_function_copy_vector func_copy_vector2average
 
my_function_copy_vector func_copy_average2centroid
 
struct Kmeans_CentroidDatacentroids_data
 
double dist_maxAdjust
 
mknn_kmeans_function_callback iteration_callback_function
 
void * iteration_callback_state_pointer
 
struct Kmeans_Statsstats
 

The documentation for this struct was generated from the following file:
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