Matches in SemOpenAlex for { <https://semopenalex.org/work/W3107266351> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W3107266351 abstract "The main task in data mining is to group data into meaningful clusters for which many clustering algorithms are used. Among various clustering algorithms the most effective one is DBSCAN algorithm which can be used for different application. This algorithm is noted as high quality density based method which has several advantages like identifying the arbitrarily shaped clusters, the number of clusters to be used need not be predefined, and it can identify the outliers and can ignore it before clustering. The two main input parameters used are Epsilon (Eps) and minimum number of points (MinPts) has great effect on clustering performance. Hence to solve this problem automatic selection of Eps and MinPts is done using K-distance graph method and neighbourhood calculation for each data point is speeded up using spatial access methods. The proposed new algorithm which makes use of spatial access method and k-distance graph method to increase the performance in terms of scalability and speeds up the execution process. The experimental results obtained clearly shows that by combining K-Distance tree method with DBSCAN algorithm is efficient in terms of all the metrics and can cluster both high and low dimensional data efficiently." @default.
- W3107266351 created "2020-12-07" @default.
- W3107266351 creator A5005461691 @default.
- W3107266351 creator A5063414149 @default.
- W3107266351 date "2020-11-01" @default.
- W3107266351 modified "2023-09-25" @default.
- W3107266351 title "WITHDRAWN: A novel method to enhance the performance evaluation of DBSCAN clustering algorithm using different distinguished metrics" @default.
- W3107266351 cites W1987111416 @default.
- W3107266351 cites W1988863701 @default.
- W3107266351 cites W1992419399 @default.
- W3107266351 cites W2024233944 @default.
- W3107266351 cites W2029157697 @default.
- W3107266351 cites W2070932809 @default.
- W3107266351 cites W2079040080 @default.
- W3107266351 cites W2111875105 @default.
- W3107266351 cites W2114687365 @default.
- W3107266351 cites W2118268275 @default.
- W3107266351 cites W2126751256 @default.
- W3107266351 cites W2132879326 @default.
- W3107266351 cites W2139815358 @default.
- W3107266351 cites W2140539164 @default.
- W3107266351 cites W2165558283 @default.
- W3107266351 cites W2180566385 @default.
- W3107266351 cites W2532189199 @default.
- W3107266351 cites W2533355402 @default.
- W3107266351 cites W2736274301 @default.
- W3107266351 cites W2740924709 @default.
- W3107266351 cites W2745778067 @default.
- W3107266351 cites W2803226133 @default.
- W3107266351 cites W2804226251 @default.
- W3107266351 doi "https://doi.org/10.1016/j.matpr.2020.09.623" @default.
- W3107266351 hasPublicationYear "2020" @default.
- W3107266351 type Work @default.
- W3107266351 sameAs 3107266351 @default.
- W3107266351 citedByCount "5" @default.
- W3107266351 countsByYear W31072663512021 @default.
- W3107266351 countsByYear W31072663512022 @default.
- W3107266351 crossrefType "journal-article" @default.
- W3107266351 hasAuthorship W3107266351A5005461691 @default.
- W3107266351 hasAuthorship W3107266351A5063414149 @default.
- W3107266351 hasConcept C111919701 @default.
- W3107266351 hasConcept C11413529 @default.
- W3107266351 hasConcept C124101348 @default.
- W3107266351 hasConcept C132525143 @default.
- W3107266351 hasConcept C154945302 @default.
- W3107266351 hasConcept C33704608 @default.
- W3107266351 hasConcept C41008148 @default.
- W3107266351 hasConcept C46576248 @default.
- W3107266351 hasConcept C48044578 @default.
- W3107266351 hasConcept C73555534 @default.
- W3107266351 hasConcept C77088390 @default.
- W3107266351 hasConcept C79337645 @default.
- W3107266351 hasConcept C80444323 @default.
- W3107266351 hasConcept C94641424 @default.
- W3107266351 hasConcept C98045186 @default.
- W3107266351 hasConceptScore W3107266351C111919701 @default.
- W3107266351 hasConceptScore W3107266351C11413529 @default.
- W3107266351 hasConceptScore W3107266351C124101348 @default.
- W3107266351 hasConceptScore W3107266351C132525143 @default.
- W3107266351 hasConceptScore W3107266351C154945302 @default.
- W3107266351 hasConceptScore W3107266351C33704608 @default.
- W3107266351 hasConceptScore W3107266351C41008148 @default.
- W3107266351 hasConceptScore W3107266351C46576248 @default.
- W3107266351 hasConceptScore W3107266351C48044578 @default.
- W3107266351 hasConceptScore W3107266351C73555534 @default.
- W3107266351 hasConceptScore W3107266351C77088390 @default.
- W3107266351 hasConceptScore W3107266351C79337645 @default.
- W3107266351 hasConceptScore W3107266351C80444323 @default.
- W3107266351 hasConceptScore W3107266351C94641424 @default.
- W3107266351 hasConceptScore W3107266351C98045186 @default.
- W3107266351 hasLocation W31072663511 @default.
- W3107266351 hasOpenAccess W3107266351 @default.
- W3107266351 hasPrimaryLocation W31072663511 @default.
- W3107266351 hasRelatedWork W1596996943 @default.
- W3107266351 hasRelatedWork W2006039862 @default.
- W3107266351 hasRelatedWork W2162403615 @default.
- W3107266351 hasRelatedWork W2186523764 @default.
- W3107266351 hasRelatedWork W2394022327 @default.
- W3107266351 hasRelatedWork W2949000021 @default.
- W3107266351 hasRelatedWork W3004596345 @default.
- W3107266351 hasRelatedWork W3046546608 @default.
- W3107266351 hasRelatedWork W3168814018 @default.
- W3107266351 hasRelatedWork W4313069709 @default.
- W3107266351 isParatext "false" @default.
- W3107266351 isRetracted "true" @default.
- W3107266351 magId "3107266351" @default.
- W3107266351 workType "article" @default.