Matches in SemOpenAlex for { <https://semopenalex.org/work/W4286631845> ?p ?o ?g. }
Showing items 1 to 59 of
59
with 100 items per page.
- W4286631845 abstract "Abstract Clustering is one of the main aspects in wireless sensor networks and K-means algorithm is the most efficient way to cluster analysis. K-means algorithm forms the group of clusters which based upon random selection of initial centroids. If initial centroids are selected based on the distribution of clusters in a particular area, then obtain the best set of cluster. This manuscript proposes a method depending the rectangular area division algorithm to find the best initial centroid which forms a more precise cluster is considerably to reduce the computing period. The analysis and experimental outcomes show that the proposed rectangular area division technique can increase the cluster’s accuracy as well as lessen the computational time of K-means algorithm." @default.
- W4286631845 created "2022-07-23" @default.
- W4286631845 creator A5012425549 @default.
- W4286631845 creator A5087040708 @default.
- W4286631845 date "2022-07-06" @default.
- W4286631845 modified "2023-09-26" @default.
- W4286631845 title "A Novel Approach for Initial Centroid Computation in Clustering" @default.
- W4286631845 doi "https://doi.org/10.21203/rs.3.rs-1262725/v1" @default.
- W4286631845 hasPublicationYear "2022" @default.
- W4286631845 type Work @default.
- W4286631845 citedByCount "0" @default.
- W4286631845 crossrefType "posted-content" @default.
- W4286631845 hasAuthorship W4286631845A5012425549 @default.
- W4286631845 hasAuthorship W4286631845A5087040708 @default.
- W4286631845 hasBestOaLocation W42866318451 @default.
- W4286631845 hasConcept C11413529 @default.
- W4286631845 hasConcept C124101348 @default.
- W4286631845 hasConcept C146599234 @default.
- W4286631845 hasConcept C154945302 @default.
- W4286631845 hasConcept C164866538 @default.
- W4286631845 hasConcept C177264268 @default.
- W4286631845 hasConcept C199360897 @default.
- W4286631845 hasConcept C33923547 @default.
- W4286631845 hasConcept C41008148 @default.
- W4286631845 hasConcept C45374587 @default.
- W4286631845 hasConcept C60798267 @default.
- W4286631845 hasConcept C73555534 @default.
- W4286631845 hasConcept C81917197 @default.
- W4286631845 hasConcept C94375191 @default.
- W4286631845 hasConceptScore W4286631845C11413529 @default.
- W4286631845 hasConceptScore W4286631845C124101348 @default.
- W4286631845 hasConceptScore W4286631845C146599234 @default.
- W4286631845 hasConceptScore W4286631845C154945302 @default.
- W4286631845 hasConceptScore W4286631845C164866538 @default.
- W4286631845 hasConceptScore W4286631845C177264268 @default.
- W4286631845 hasConceptScore W4286631845C199360897 @default.
- W4286631845 hasConceptScore W4286631845C33923547 @default.
- W4286631845 hasConceptScore W4286631845C41008148 @default.
- W4286631845 hasConceptScore W4286631845C45374587 @default.
- W4286631845 hasConceptScore W4286631845C60798267 @default.
- W4286631845 hasConceptScore W4286631845C73555534 @default.
- W4286631845 hasConceptScore W4286631845C81917197 @default.
- W4286631845 hasConceptScore W4286631845C94375191 @default.
- W4286631845 hasLocation W42866318451 @default.
- W4286631845 hasOpenAccess W4286631845 @default.
- W4286631845 hasPrimaryLocation W42866318451 @default.
- W4286631845 hasRelatedWork W2045437074 @default.
- W4286631845 hasRelatedWork W2076447551 @default.
- W4286631845 hasRelatedWork W2532290569 @default.
- W4286631845 hasRelatedWork W2953024232 @default.
- W4286631845 hasRelatedWork W3032705045 @default.
- W4286631845 hasRelatedWork W3049268462 @default.
- W4286631845 hasRelatedWork W3176528542 @default.
- W4286631845 hasRelatedWork W3208326136 @default.
- W4286631845 hasRelatedWork W4200482842 @default.
- W4286631845 hasRelatedWork W4255813774 @default.
- W4286631845 isParatext "false" @default.
- W4286631845 isRetracted "false" @default.
- W4286631845 workType "article" @default.