Matches in DBpedia 2016-04 for { <http://dbpedia.org/resource/IDistance> ?p ?o }
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- IDistance abstract "In pattern recognition, the iDistance is an indexing and query processing technique for k-nearest neighbor queries on point data in multi-dimensional metric spaces. The kNN query is one of the hardest problems on multi-dimensional data, especially when the dimensionality of the data is high. The iDistance is designed to process kNN queries in high-dimensional spaces efficiently and it is especially good for skewed data distributions, which usually occur in real-life data sets.".
- IDistance thumbnail Idistance.jpg?width=300.
- IDistance wikiPageExternalLink code.htm.
- IDistance wikiPageExternalLink idistance.
- IDistance wikiPageID "18990485".
- IDistance wikiPageLength "4615".
- IDistance wikiPageOutDegree "13".
- IDistance wikiPageRevisionID "644466168".
- IDistance wikiPageWikiLink B+_tree.
- IDistance wikiPageWikiLink Category:Classification_algorithms.
- IDistance wikiPageWikiLink Category:Machine_learning_algorithms.
- IDistance wikiPageWikiLink Cluster_analysis.
- IDistance wikiPageWikiLink Collation.
- IDistance wikiPageWikiLink Curse_of_dimensionality.
- IDistance wikiPageWikiLink Dimension.
- IDistance wikiPageWikiLink H._V._Jagadish.
- IDistance wikiPageWikiLink K-nearest_neighbors_algorithm.
- IDistance wikiPageWikiLink Metric_space.
- IDistance wikiPageWikiLink Pattern_recognition.
- IDistance wikiPageWikiLink Skewness.
- IDistance wikiPageWikiLink File:Idistance.jpg.
- IDistance wikiPageWikiLinkText "IDistance".
- IDistance wikiPageUsesTemplate Template:CS-Trees.
- IDistance wikiPageUsesTemplate Template:Lowercase_title.
- IDistance subject Category:Classification_algorithms.
- IDistance subject Category:Machine_learning_algorithms.
- IDistance hypernym Indexing.
- IDistance type Software.
- IDistance type Algorithm.
- IDistance comment "In pattern recognition, the iDistance is an indexing and query processing technique for k-nearest neighbor queries on point data in multi-dimensional metric spaces. The kNN query is one of the hardest problems on multi-dimensional data, especially when the dimensionality of the data is high. The iDistance is designed to process kNN queries in high-dimensional spaces efficiently and it is especially good for skewed data distributions, which usually occur in real-life data sets.".
- IDistance label "IDistance".
- IDistance sameAs Q17029017.
- IDistance sameAs m.04mynp2.
- IDistance sameAs Q17029017.
- IDistance wasDerivedFrom IDistance?oldid=644466168.
- IDistance depiction Idistance.jpg.
- IDistance isPrimaryTopicOf IDistance.
