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- Random_mapping abstract "When the data vectors are high-dimensional it is computationally infeasible to use data analysis or pattern recognition algorithms which repeatedly compute similarities or distances in the original data space. It is therefore necessary to reduce the dimensionality before,for example, clustering the data.Random Mapping (RM) is a fast dimensionality reduction method categorized as feature extraction method. The RM consists in generation of a random matrix that is multiplied by each original vector and result in a reduced vector.In Text mining context, it is demonstrated that the document classification accuracy obtained after the dimensionality has been reduced using a random mapping method will be almost as good as the original accuracy if the final dimensionality is sufficiently large (about 100 out of 6000). In fact, it can be shown that the inner product (similarity) between the mapped vectors follows closely the inner product of the original vectors.".
- Random_mapping wikiPageExternalLink IJCNN.1998.682302.
- Random_mapping wikiPageID "4564152".
- Random_mapping wikiPageLength "1471".
- Random_mapping wikiPageOutDegree "9".
- Random_mapping wikiPageRevisionID "691431405".
- Random_mapping wikiPageWikiLink Category:Data_analysis.
- Random_mapping wikiPageWikiLink Dimensionality_reduction.
- Random_mapping wikiPageWikiLink Document_classification.
- Random_mapping wikiPageWikiLink Feature_extraction.
- Random_mapping wikiPageWikiLink Inner_product_space.
- Random_mapping wikiPageWikiLink Random_variable.
- Random_mapping wikiPageWikiLink Semantic_mapping.
- Random_mapping wikiPageWikiLink Text_mining.
- Random_mapping wikiPageWikiLink Vector_(mathematics_and_physics).
- Random_mapping wikiPageWikiLinkText "Random mapping".
- Random_mapping wikiPageWikiLinkText "random mapping".
- Random_mapping wikiPageUsesTemplate Template:Context.
- Random_mapping wikiPageUsesTemplate Template:Psych-stub.
- Random_mapping subject Category:Data_analysis.
- Random_mapping type Page.
- Random_mapping comment "When the data vectors are high-dimensional it is computationally infeasible to use data analysis or pattern recognition algorithms which repeatedly compute similarities or distances in the original data space. It is therefore necessary to reduce the dimensionality before,for example, clustering the data.Random Mapping (RM) is a fast dimensionality reduction method categorized as feature extraction method.".
- Random_mapping label "Random mapping".
- Random_mapping sameAs Q7291977.
- Random_mapping sameAs m.0kvhr6b.
- Random_mapping sameAs Q7291977.
- Random_mapping wasDerivedFrom Random_mapping?oldid=691431405.
- Random_mapping isPrimaryTopicOf Random_mapping.