MetricKnn API
Fast Similarity Search using the Metric Space Approach
File List
Here is a list of all documented files with brief descriptions:
[detail level 12345]
  src
  metricknn
  metricknn_c
  impl
 heap.h
 histogram.h
 macros_util.h
 metricknn_opencv.h
 mevaluation_wrapper.h
 metricknn_impl.h
 mknn_dataset.hMknnDataset represents a set of objects of any type
 mknn_dataset_loader.hThere are different methods for creating or loading datasets
 mknn_datatype.hDatatype Constants
 mknn_distance.hMknnDistance represents a method for comparing objects
 mknn_distance_eval.hMknnDistanceEval is the function used for comparing objects
 mknn_domain.hA MknnDomain represents the type of object that are contained in a dataset
 mknn_general_domain.hGeneral Domain Constants
 mknn_index.hA MknnIndex represents the index structure
 mknn_kmeans.h
 mknn_params.hA parameters object stores parameters in an internal map, which associates a names with its value
 mknn_pca.h
 mknn_predefined_distance.hMetricKnn provides a set of pre-defined distances
 mknn_predefined_index.hMetricKnn provides a set of pre-defined indexes identified
 mknn_printer.hA MknnPrinter converts an object from a given domain to its string representation
 mknn_resolver.hA MknnResolver represents the parameters of a similarity search
 mknn_result.hA MknnResult stores the result for a query dataset, and MknnResultQuery stores the result for each query object
  metricknn_cpp
  impl
 metricknn_opencv.hpp
 mevaluation_answers.hpp
 mevaluation_eval.hpp
 mevaluation_groundtruth.hpp
 metricknn_impl.hpp
 mknn_dataset.hpp
 mknn_dataset_loader.hpp
 mknn_datatype.hpp
 mknn_distance.hpp
 mknn_distance_eval.hpp
 mknn_domain.hpp
 mknn_index.hpp
 mknn_params.hpp
 mknn_predefined_distance.hpp
 mknn_predefined_index.hpp
 mknn_printer.hpp
 mknn_resolver.hpp
 mknn_result.hpp
 metricknn_c.hMain header to be included
 metricknn_cpp.hppMain header to be included
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