FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017100743> ?p ?o ?g. }

• W2017100743 endingPage "1075" @default.
• W2017100743 startingPage "1061" @default.
• W2017100743 abstract "This paper represents another step in overcoming a drawback of K-Means, its lack of defense against noisy features, using feature weights in the criterion. The Weighted K-Means method by Huang et al. (2008, 2004, 2005) [5-7] is extended to the corresponding Minkowski metric for measuring distances. Under Minkowski metric the feature weights become intuitively appealing feature rescaling factors in a conventional K-Means criterion. To see how this can be used in addressing another issue of K-Means, the initial setting, a method to initialize K-Means with anomalous clusters is adapted. The Minkowski metric based method is experimentally validated on datasets from the UCI Machine Learning Repository and generated sets of Gaussian clusters, both as they are and with additional uniform random noise features, and appears to be competitive in comparison with other K-Means based feature weighting algorithms." @default.
• W2017100743 created "2016-06-24" @default.
• W2017100743 creator A5038105175 @default.
• W2017100743 creator A5075542475 @default.
• W2017100743 date "2012-03-01" @default.
• W2017100743 modified "2023-10-14" @default.
• W2017100743 title "Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering" @default.
• W2017100743 cites W1548779692 @default.
• W2017100743 cites W191887720 @default.
• W2017100743 cites W1959178355 @default.
• W2017100743 cites W1989946714 @default.
• W2017100743 cites W2001860992 @default.
• W2017100743 cites W2002586964 @default.
• W2017100743 cites W2011430131 @default.
• W2017100743 cites W2024692910 @default.
• W2017100743 cites W2034380011 @default.
• W2017100743 cites W2037414882 @default.
• W2017100743 cites W2047191928 @default.
• W2017100743 cites W2059216481 @default.
• W2017100743 cites W2071949631 @default.
• W2017100743 cites W2072017174 @default.
• W2017100743 cites W2073288201 @default.
• W2017100743 cites W2075098580 @default.
• W2017100743 cites W2117355841 @default.
• W2017100743 cites W2120887445 @default.
• W2017100743 cites W2136127419 @default.
• W2017100743 cites W2141951767 @default.
• W2017100743 cites W2155074104 @default.
• W2017100743 cites W2156291289 @default.
• W2017100743 cites W2168532736 @default.
• W2017100743 cites W3100816363 @default.
• W2017100743 doi "https://doi.org/10.1016/j.patcog.2011.08.012" @default.
• W2017100743 hasPublicationYear "2012" @default.
• W2017100743 type Work @default.
• W2017100743 sameAs 2017100743 @default.
• W2017100743 citedByCount "264" @default.
• W2017100743 countsByYear W20171007432012 @default.
• W2017100743 countsByYear W20171007432013 @default.
• W2017100743 countsByYear W20171007432014 @default.
• W2017100743 countsByYear W20171007432015 @default.
• W2017100743 countsByYear W20171007432016 @default.
• W2017100743 countsByYear W20171007432017 @default.
• W2017100743 countsByYear W20171007432018 @default.
• W2017100743 countsByYear W20171007432019 @default.
• W2017100743 countsByYear W20171007432020 @default.
• W2017100743 countsByYear W20171007432021 @default.
• W2017100743 countsByYear W20171007432022 @default.
• W2017100743 countsByYear W20171007432023 @default.
• W2017100743 crossrefType "journal-article" @default.
• W2017100743 hasAuthorship W2017100743A5038105175 @default.
• W2017100743 hasAuthorship W2017100743A5075542475 @default.
• W2017100743 hasConcept C114466953 @default.
• W2017100743 hasConcept C115328559 @default.
• W2017100743 hasConcept C121332964 @default.
• W2017100743 hasConcept C124101348 @default.
• W2017100743 hasConcept C127413603 @default.
• W2017100743 hasConcept C138885662 @default.
• W2017100743 hasConcept C153180895 @default.
• W2017100743 hasConcept C154945302 @default.
• W2017100743 hasConcept C164866538 @default.
• W2017100743 hasConcept C17212007 @default.
• W2017100743 hasConcept C176217482 @default.
• W2017100743 hasConcept C183115368 @default.
• W2017100743 hasConcept C199360897 @default.
• W2017100743 hasConcept C21547014 @default.
• W2017100743 hasConcept C24890656 @default.
• W2017100743 hasConcept C2524010 @default.
• W2017100743 hasConcept C2776401178 @default.
• W2017100743 hasConcept C33704608 @default.
• W2017100743 hasConcept C33923547 @default.
• W2017100743 hasConcept C41008148 @default.
• W2017100743 hasConcept C41895202 @default.
• W2017100743 hasConcept C73555534 @default.
• W2017100743 hasConcept C79464548 @default.
• W2017100743 hasConceptScore W2017100743C114466953 @default.
• W2017100743 hasConceptScore W2017100743C115328559 @default.
• W2017100743 hasConceptScore W2017100743C121332964 @default.
• W2017100743 hasConceptScore W2017100743C124101348 @default.
• W2017100743 hasConceptScore W2017100743C127413603 @default.
• W2017100743 hasConceptScore W2017100743C138885662 @default.
• W2017100743 hasConceptScore W2017100743C153180895 @default.
• W2017100743 hasConceptScore W2017100743C154945302 @default.
• W2017100743 hasConceptScore W2017100743C164866538 @default.
• W2017100743 hasConceptScore W2017100743C17212007 @default.
• W2017100743 hasConceptScore W2017100743C176217482 @default.
• W2017100743 hasConceptScore W2017100743C183115368 @default.
• W2017100743 hasConceptScore W2017100743C199360897 @default.
• W2017100743 hasConceptScore W2017100743C21547014 @default.
• W2017100743 hasConceptScore W2017100743C24890656 @default.
• W2017100743 hasConceptScore W2017100743C2524010 @default.
• W2017100743 hasConceptScore W2017100743C2776401178 @default.
• W2017100743 hasConceptScore W2017100743C33704608 @default.
• W2017100743 hasConceptScore W2017100743C33923547 @default.
• W2017100743 hasConceptScore W2017100743C41008148 @default.
• W2017100743 hasConceptScore W2017100743C41895202 @default.
• W2017100743 hasConceptScore W2017100743C73555534 @default.
• W2017100743 hasConceptScore W2017100743C79464548 @default.
• W2017100743 hasIssue "3" @default.

• next