MetricKnn API
Fast Similarity Search using the Metric Space Approach
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▼ src | |
▼ metricknn | |
▼ metricknn_c | |
▼ impl | |
heap.h | |
histogram.h | |
macros_util.h | |
metricknn_opencv.h | |
mevaluation_wrapper.h | |
metricknn_impl.h | |
mknn_dataset.h | MknnDataset represents a set of objects of any type |
mknn_dataset_loader.h | There are different methods for creating or loading datasets |
mknn_datatype.h | Datatype Constants |
mknn_distance.h | MknnDistance represents a method for comparing objects |
mknn_distance_eval.h | MknnDistanceEval is the function used for comparing objects |
mknn_domain.h | A MknnDomain represents the type of object that are contained in a dataset |
mknn_general_domain.h | General Domain Constants |
mknn_index.h | A MknnIndex represents the index structure |
mknn_kmeans.h | |
mknn_params.h | A parameters object stores parameters in an internal map, which associates a names with its value |
mknn_pca.h | |
mknn_predefined_distance.h | MetricKnn provides a set of pre-defined distances |
mknn_predefined_index.h | MetricKnn provides a set of pre-defined indexes identified |
mknn_printer.h | A MknnPrinter converts an object from a given domain to its string representation |
mknn_resolver.h | A MknnResolver represents the parameters of a similarity search |
mknn_result.h | A 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.h | Main header to be included |
metricknn_cpp.hpp | Main header to be included |