Matches in SemOpenAlex for { <https://semopenalex.org/work/W3022358717> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W3022358717 abstract "In data mining has a lot of technique for knowledge discovery. In this Clustering method is very well technique for unsupervised learning. It's important objective is to find a high-quality cluster where the distance between clusters are maximal and the distance in the cluster is minimal. K-means algorithm is applied in this paper for its simplicity. It has been widely discussed and applied in pattern recognition and machine learning. However, the K-means algorithm could not guarantee unique clustering results for the same dataset because its initial cluster centers are select randomly. To avoid such issues a new initialization method is proposed in the Improved K-means algorithm with Cuckoo Search algorithm. The proposed method uses different numerical datasets like iris, wine and solar datasets (Ames, Chariton stations). The K-means clustering solutions are comparable with cuckoo search initialization methods using different measures such as Accuracy, Precision and Recall, F1-score, Silhouette value and MSE (Mean Square Error). The experimental solution represents the effectiveness of the proposed method." @default.
- W3022358717 created "2020-05-13" @default.
- W3022358717 creator A5019908256 @default.
- W3022358717 creator A5057396876 @default.
- W3022358717 creator A5075870206 @default.
- W3022358717 creator A5087234740 @default.
- W3022358717 date "2019-04-01" @default.
- W3022358717 modified "2023-09-25" @default.
- W3022358717 title "An Efficient K-Means Clustering Initialization Using Optimization Algorithm" @default.
- W3022358717 cites W1976744965 @default.
- W3022358717 cites W1987971958 @default.
- W3022358717 cites W1992419399 @default.
- W3022358717 cites W2059515884 @default.
- W3022358717 cites W2099270437 @default.
- W3022358717 cites W2270954860 @default.
- W3022358717 doi "https://doi.org/10.1109/icacce46606.2019.9079998" @default.
- W3022358717 hasPublicationYear "2019" @default.
- W3022358717 type Work @default.
- W3022358717 sameAs 3022358717 @default.
- W3022358717 citedByCount "1" @default.
- W3022358717 countsByYear W30223587172021 @default.
- W3022358717 crossrefType "proceedings-article" @default.
- W3022358717 hasAuthorship W3022358717A5019908256 @default.
- W3022358717 hasAuthorship W3022358717A5057396876 @default.
- W3022358717 hasAuthorship W3022358717A5075870206 @default.
- W3022358717 hasAuthorship W3022358717A5087234740 @default.
- W3022358717 hasConcept C104047586 @default.
- W3022358717 hasConcept C11413529 @default.
- W3022358717 hasConcept C114466953 @default.
- W3022358717 hasConcept C117241572 @default.
- W3022358717 hasConcept C124101348 @default.
- W3022358717 hasConcept C149872217 @default.
- W3022358717 hasConcept C153180895 @default.
- W3022358717 hasConcept C154945302 @default.
- W3022358717 hasConcept C164866538 @default.
- W3022358717 hasConcept C199360897 @default.
- W3022358717 hasConcept C207968372 @default.
- W3022358717 hasConcept C33704608 @default.
- W3022358717 hasConcept C41008148 @default.
- W3022358717 hasConcept C46576248 @default.
- W3022358717 hasConcept C58103923 @default.
- W3022358717 hasConcept C73555534 @default.
- W3022358717 hasConcept C85617194 @default.
- W3022358717 hasConcept C94641424 @default.
- W3022358717 hasConceptScore W3022358717C104047586 @default.
- W3022358717 hasConceptScore W3022358717C11413529 @default.
- W3022358717 hasConceptScore W3022358717C114466953 @default.
- W3022358717 hasConceptScore W3022358717C117241572 @default.
- W3022358717 hasConceptScore W3022358717C124101348 @default.
- W3022358717 hasConceptScore W3022358717C149872217 @default.
- W3022358717 hasConceptScore W3022358717C153180895 @default.
- W3022358717 hasConceptScore W3022358717C154945302 @default.
- W3022358717 hasConceptScore W3022358717C164866538 @default.
- W3022358717 hasConceptScore W3022358717C199360897 @default.
- W3022358717 hasConceptScore W3022358717C207968372 @default.
- W3022358717 hasConceptScore W3022358717C33704608 @default.
- W3022358717 hasConceptScore W3022358717C41008148 @default.
- W3022358717 hasConceptScore W3022358717C46576248 @default.
- W3022358717 hasConceptScore W3022358717C58103923 @default.
- W3022358717 hasConceptScore W3022358717C73555534 @default.
- W3022358717 hasConceptScore W3022358717C85617194 @default.
- W3022358717 hasConceptScore W3022358717C94641424 @default.
- W3022358717 hasLocation W30223587171 @default.
- W3022358717 hasOpenAccess W3022358717 @default.
- W3022358717 hasPrimaryLocation W30223587171 @default.
- W3022358717 hasRelatedWork W1504043356 @default.
- W3022358717 hasRelatedWork W1547125942 @default.
- W3022358717 hasRelatedWork W1971366127 @default.
- W3022358717 hasRelatedWork W2032750766 @default.
- W3022358717 hasRelatedWork W2033740067 @default.
- W3022358717 hasRelatedWork W2041054527 @default.
- W3022358717 hasRelatedWork W2041916267 @default.
- W3022358717 hasRelatedWork W2105366291 @default.
- W3022358717 hasRelatedWork W2160558018 @default.
- W3022358717 hasRelatedWork W2332062499 @default.
- W3022358717 hasRelatedWork W2371333153 @default.
- W3022358717 hasRelatedWork W2372345277 @default.
- W3022358717 hasRelatedWork W2406693551 @default.
- W3022358717 hasRelatedWork W2734621727 @default.
- W3022358717 hasRelatedWork W2790640884 @default.
- W3022358717 hasRelatedWork W2806620899 @default.
- W3022358717 hasRelatedWork W2809813670 @default.
- W3022358717 hasRelatedWork W2885933207 @default.
- W3022358717 hasRelatedWork W3198433494 @default.
- W3022358717 hasRelatedWork W2183141913 @default.
- W3022358717 isParatext "false" @default.
- W3022358717 isRetracted "false" @default.
- W3022358717 magId "3022358717" @default.
- W3022358717 workType "article" @default.