Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017069287> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2017069287 abstract "K-means is the most popular clustering algorithm because of its efficiency and superior performance. However, the performance of K-means algorithm depends heavily on the selection of initial centroids. This paper proposes an extension to the original K-means algorithm enabling it to solve classification problems. First, the entropy concept is employed to adapt the traditional K-means algorithm to be used as a classification technique. Then, to improve the performance of K-means algorithm, a new scheme to select the initial cluster centers is proposed. The proposed models are tested on seven benchmark data sets from the UCI machine learning repository. Experimental results have shown that the proposed models outperform the learning vector quantization network in most of the tested data sets." @default.
- W2017069287 created "2016-06-24" @default.
- W2017069287 creator A5013041829 @default.
- W2017069287 creator A5013367751 @default.
- W2017069287 date "2013-08-01" @default.
- W2017069287 modified "2023-09-25" @default.
- W2017069287 title "Enhancing K-means algorithm for solving classification problems" @default.
- W2017069287 cites W177994846 @default.
- W2017069287 cites W1990517717 @default.
- W2017069287 cites W2081771622 @default.
- W2017069287 cites W2129258532 @default.
- W2017069287 cites W2162830401 @default.
- W2017069287 doi "https://doi.org/10.1109/icma.2013.6618163" @default.
- W2017069287 hasPublicationYear "2013" @default.
- W2017069287 type Work @default.
- W2017069287 sameAs 2017069287 @default.
- W2017069287 citedByCount "4" @default.
- W2017069287 countsByYear W20170692872015 @default.
- W2017069287 countsByYear W20170692872016 @default.
- W2017069287 countsByYear W20170692872019 @default.
- W2017069287 countsByYear W20170692872021 @default.
- W2017069287 crossrefType "proceedings-article" @default.
- W2017069287 hasAuthorship W2017069287A5013041829 @default.
- W2017069287 hasAuthorship W2017069287A5013367751 @default.
- W2017069287 hasConcept C106301342 @default.
- W2017069287 hasConcept C110083411 @default.
- W2017069287 hasConcept C11413529 @default.
- W2017069287 hasConcept C119857082 @default.
- W2017069287 hasConcept C121332964 @default.
- W2017069287 hasConcept C124101348 @default.
- W2017069287 hasConcept C13280743 @default.
- W2017069287 hasConcept C146599234 @default.
- W2017069287 hasConcept C154945302 @default.
- W2017069287 hasConcept C185798385 @default.
- W2017069287 hasConcept C199360897 @default.
- W2017069287 hasConcept C199833920 @default.
- W2017069287 hasConcept C205649164 @default.
- W2017069287 hasConcept C207968372 @default.
- W2017069287 hasConcept C2778029271 @default.
- W2017069287 hasConcept C40567965 @default.
- W2017069287 hasConcept C41008148 @default.
- W2017069287 hasConcept C62520636 @default.
- W2017069287 hasConcept C73555534 @default.
- W2017069287 hasConcept C93372532 @default.
- W2017069287 hasConceptScore W2017069287C106301342 @default.
- W2017069287 hasConceptScore W2017069287C110083411 @default.
- W2017069287 hasConceptScore W2017069287C11413529 @default.
- W2017069287 hasConceptScore W2017069287C119857082 @default.
- W2017069287 hasConceptScore W2017069287C121332964 @default.
- W2017069287 hasConceptScore W2017069287C124101348 @default.
- W2017069287 hasConceptScore W2017069287C13280743 @default.
- W2017069287 hasConceptScore W2017069287C146599234 @default.
- W2017069287 hasConceptScore W2017069287C154945302 @default.
- W2017069287 hasConceptScore W2017069287C185798385 @default.
- W2017069287 hasConceptScore W2017069287C199360897 @default.
- W2017069287 hasConceptScore W2017069287C199833920 @default.
- W2017069287 hasConceptScore W2017069287C205649164 @default.
- W2017069287 hasConceptScore W2017069287C207968372 @default.
- W2017069287 hasConceptScore W2017069287C2778029271 @default.
- W2017069287 hasConceptScore W2017069287C40567965 @default.
- W2017069287 hasConceptScore W2017069287C41008148 @default.
- W2017069287 hasConceptScore W2017069287C62520636 @default.
- W2017069287 hasConceptScore W2017069287C73555534 @default.
- W2017069287 hasConceptScore W2017069287C93372532 @default.
- W2017069287 hasLocation W20170692871 @default.
- W2017069287 hasOpenAccess W2017069287 @default.
- W2017069287 hasPrimaryLocation W20170692871 @default.
- W2017069287 hasRelatedWork W1972652010 @default.
- W2017069287 hasRelatedWork W2023363400 @default.
- W2017069287 hasRelatedWork W2153192364 @default.
- W2017069287 hasRelatedWork W2242214370 @default.
- W2017069287 hasRelatedWork W2364584044 @default.
- W2017069287 hasRelatedWork W2366463855 @default.
- W2017069287 hasRelatedWork W2374311675 @default.
- W2017069287 hasRelatedWork W2402333372 @default.
- W2017069287 hasRelatedWork W2492016003 @default.
- W2017069287 hasRelatedWork W2507509328 @default.
- W2017069287 hasRelatedWork W2519373658 @default.
- W2017069287 hasRelatedWork W2539745180 @default.
- W2017069287 hasRelatedWork W2557338125 @default.
- W2017069287 hasRelatedWork W2889525776 @default.
- W2017069287 hasRelatedWork W2909248382 @default.
- W2017069287 hasRelatedWork W2911746830 @default.
- W2017069287 hasRelatedWork W2945694325 @default.
- W2017069287 hasRelatedWork W2987058477 @default.
- W2017069287 hasRelatedWork W3009814175 @default.
- W2017069287 hasRelatedWork W1557691450 @default.
- W2017069287 isParatext "false" @default.
- W2017069287 isRetracted "false" @default.
- W2017069287 magId "2017069287" @default.
- W2017069287 workType "article" @default.