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MetricKnn API
Fast Similarity Search using the Metric Space Approach
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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. | |
1.8.9.1