Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891951778> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2891951778 endingPage "25" @default.
- W2891951778 startingPage "16" @default.
- W2891951778 abstract "The purpose of this article is to weigh up the foremost imperative features of Chronic Kidney Disease (CKD). This study is based mostly on three cluster techniques like; K means, Fuzzy c-means and hierarchical clustering. The authors used evolutionary techniques like genetic algorithms (GA) to extend the performance of the clustering model. The performance of these three clusters: live parameter purity, entropy, and Adjusted Rand Index (ARI) have been contemplated. The best purity is obtained by the K-means clustering technique, 96.50%; whereas, Fuzzy C-means clustering received 93.50% and hierarchical clustering was the lowest at 92. 25%. After using evolutionary technique Genetic Algorithm as Feature selection technique, the best purity is obtained by hierarchical clustering, 97.50%, compared to K –means clustering, 96.75%, and Fuzzy C-means clustering at 94.00%." @default.
- W2891951778 created "2018-09-27" @default.
- W2891951778 creator A5023200879 @default.
- W2891951778 creator A5063350667 @default.
- W2891951778 date "2018-10-01" @default.
- W2891951778 modified "2023-09-27" @default.
- W2891951778 title "Analysis and Comparison of Clustering Techniques for Chronic Kidney Disease With Genetic Algorithm" @default.
- W2891951778 cites W1990368529 @default.
- W2891951778 cites W1995450389 @default.
- W2891951778 cites W2033403400 @default.
- W2891951778 cites W2083121736 @default.
- W2891951778 cites W2505665596 @default.
- W2891951778 cites W2549180152 @default.
- W2891951778 cites W2588086916 @default.
- W2891951778 cites W2596492958 @default.
- W2891951778 cites W2599417741 @default.
- W2891951778 cites W2604770881 @default.
- W2891951778 cites W2620597700 @default.
- W2891951778 cites W2770460596 @default.
- W2891951778 cites W4205557662 @default.
- W2891951778 cites W4210424113 @default.
- W2891951778 doi "https://doi.org/10.4018/ijcvip.2018100102" @default.
- W2891951778 hasPublicationYear "2018" @default.
- W2891951778 type Work @default.
- W2891951778 sameAs 2891951778 @default.
- W2891951778 citedByCount "1" @default.
- W2891951778 countsByYear W28919517782022 @default.
- W2891951778 crossrefType "journal-article" @default.
- W2891951778 hasAuthorship W2891951778A5023200879 @default.
- W2891951778 hasAuthorship W2891951778A5063350667 @default.
- W2891951778 hasConcept C104047586 @default.
- W2891951778 hasConcept C111442797 @default.
- W2891951778 hasConcept C124101348 @default.
- W2891951778 hasConcept C149872217 @default.
- W2891951778 hasConcept C153180895 @default.
- W2891951778 hasConcept C154945302 @default.
- W2891951778 hasConcept C17212007 @default.
- W2891951778 hasConcept C22648726 @default.
- W2891951778 hasConcept C33704608 @default.
- W2891951778 hasConcept C33923547 @default.
- W2891951778 hasConcept C41008148 @default.
- W2891951778 hasConcept C73555534 @default.
- W2891951778 hasConcept C92835128 @default.
- W2891951778 hasConcept C94641424 @default.
- W2891951778 hasConceptScore W2891951778C104047586 @default.
- W2891951778 hasConceptScore W2891951778C111442797 @default.
- W2891951778 hasConceptScore W2891951778C124101348 @default.
- W2891951778 hasConceptScore W2891951778C149872217 @default.
- W2891951778 hasConceptScore W2891951778C153180895 @default.
- W2891951778 hasConceptScore W2891951778C154945302 @default.
- W2891951778 hasConceptScore W2891951778C17212007 @default.
- W2891951778 hasConceptScore W2891951778C22648726 @default.
- W2891951778 hasConceptScore W2891951778C33704608 @default.
- W2891951778 hasConceptScore W2891951778C33923547 @default.
- W2891951778 hasConceptScore W2891951778C41008148 @default.
- W2891951778 hasConceptScore W2891951778C73555534 @default.
- W2891951778 hasConceptScore W2891951778C92835128 @default.
- W2891951778 hasConceptScore W2891951778C94641424 @default.
- W2891951778 hasIssue "4" @default.
- W2891951778 hasLocation W28919517781 @default.
- W2891951778 hasOpenAccess W2891951778 @default.
- W2891951778 hasPrimaryLocation W28919517781 @default.
- W2891951778 hasRelatedWork W1597284285 @default.
- W2891951778 hasRelatedWork W2124419093 @default.
- W2891951778 hasRelatedWork W2171593483 @default.
- W2891951778 hasRelatedWork W2502021077 @default.
- W2891951778 hasRelatedWork W2782584004 @default.
- W2891951778 hasRelatedWork W4200404937 @default.
- W2891951778 hasRelatedWork W4224252928 @default.
- W2891951778 hasRelatedWork W4233099250 @default.
- W2891951778 hasRelatedWork W4310575853 @default.
- W2891951778 hasRelatedWork W1491908038 @default.
- W2891951778 hasVolume "8" @default.
- W2891951778 isParatext "false" @default.
- W2891951778 isRetracted "false" @default.
- W2891951778 magId "2891951778" @default.
- W2891951778 workType "article" @default.