MetricKnn API
Fast Similarity Search using the Metric Space Approach
metricknn_c Directory Reference

Directories

directory  datasets
 
directory  distances
 
directory  impl
 
directory  indexes
 

Files

file  metricknn_impl.h [code]
 
file  mknn_dataset.h [code]
 MknnDataset represents a set of objects of any type.
 
file  mknn_dataset_loader.h [code]
 There are different methods for creating or loading datasets.
 
file  mknn_datatype.h [code]
 Datatype Constants.
 
file  mknn_distance.h [code]
 MknnDistance represents a method for comparing objects.
 
file  mknn_distance_eval.h [code]
 MknnDistanceEval is the function used for comparing objects.
 
file  mknn_domain.h [code]
 A MknnDomain represents the type of object that are contained in a dataset.
 
file  mknn_general_domain.h [code]
 General Domain Constants.
 
file  mknn_index.h [code]
 A MknnIndex represents the index structure.
 
file  mknn_kmeans.h [code]
 
file  mknn_params.h [code]
 A parameters object stores parameters in an internal map, which associates a names with its value.
 
file  mknn_pca.h [code]
 
file  mknn_predefined_distance.h [code]
 MetricKnn provides a set of pre-defined distances.
 
file  mknn_predefined_index.h [code]
 MetricKnn provides a set of pre-defined indexes identified.
 
file  mknn_printer.h [code]
 A MknnPrinter converts an object from a given domain to its string representation.
 
file  mknn_resolver.h [code]
 A MknnResolver represents the parameters of a similarity search.
 
file  mknn_result.h [code]
 A MknnResult stores the result for a query dataset, and MknnResultQuery stores the result for each query object.
 
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