Matches in SemOpenAlex for { <https://semopenalex.org/work/W2071275569> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2071275569 endingPage "573" @default.
- W2071275569 startingPage "568" @default.
- W2071275569 abstract "The magnitude and frequency of precipitation is of great significance in the field of hydrologic and hydraulic design and has wide applications in varied areas. However, the availability of precipitation data is limited to a few areas, where the rain gauges are successfully and efficiently installed. The magnitude and frequency of precipitation in ungauged sites can be assessed by grouping areas with similar characteristics. The procedure of grouping of areas having similar behaviour is termed as Regionalization. In this paper, RCDA cluster ensemble algorithm is employed to identify the homogeneous regions of rainfall in India. Cluster ensemble methods are commonly used to enhance the quality of clustering by combining multiple clustering schemes to produce a more robust scheme delivering similar homogeneous regions. The goal is to identify, analyse and describe hydrologically similar regions using RCDA cluster ensemble algorithm. RCDA cluster ensemble algorithm, which is based on discriminant analysis. The algorithm takes H base clustering schemes each with K clusters, obtained by any clustering method, as input and constructs discriminant function for each one of them. Subsequently, all the data tuples are predicted using H discriminant functions for cluster membership. Tuples with consistent predictions are assigned to the clusters, while tuples with inconsistent predictions are analyzed further and either assigned to clusters or declared as noise. RCDA algorithm has been compared with Best of K-means and Clue cluster ensemble of R software using traditional clustering quality measures. Further, domain knowledge based comparison has also been performed. All the results are encouraging and indicate better regionalization of the rainfall in different parts of India." @default.
- W2071275569 created "2016-06-24" @default.
- W2071275569 creator A5020543899 @default.
- W2071275569 creator A5076472565 @default.
- W2071275569 date "2012-01-01" @default.
- W2071275569 modified "2023-09-28" @default.
- W2071275569 title "Regionalization of Rainfall Using RCDA Cluster Ensemble Algorithm in India" @default.
- W2071275569 cites W1493454437 @default.
- W2071275569 cites W1584381954 @default.
- W2071275569 cites W2010732210 @default.
- W2071275569 cites W2023398043 @default.
- W2071275569 cites W2024619338 @default.
- W2071275569 cites W2100639261 @default.
- W2071275569 cites W2139580617 @default.
- W2071275569 cites W2150679019 @default.
- W2071275569 cites W2171903410 @default.
- W2071275569 cites W4239320016 @default.
- W2071275569 doi "https://doi.org/10.4236/jsea.2012.58065" @default.
- W2071275569 hasPublicationYear "2012" @default.
- W2071275569 type Work @default.
- W2071275569 sameAs 2071275569 @default.
- W2071275569 citedByCount "10" @default.
- W2071275569 countsByYear W20712755692013 @default.
- W2071275569 countsByYear W20712755692017 @default.
- W2071275569 countsByYear W20712755692018 @default.
- W2071275569 countsByYear W20712755692019 @default.
- W2071275569 countsByYear W20712755692020 @default.
- W2071275569 countsByYear W20712755692021 @default.
- W2071275569 countsByYear W20712755692022 @default.
- W2071275569 countsByYear W20712755692023 @default.
- W2071275569 crossrefType "journal-article" @default.
- W2071275569 hasAuthorship W2071275569A5020543899 @default.
- W2071275569 hasAuthorship W2071275569A5076472565 @default.
- W2071275569 hasBestOaLocation W20712755691 @default.
- W2071275569 hasConcept C111919701 @default.
- W2071275569 hasConcept C11413529 @default.
- W2071275569 hasConcept C124101348 @default.
- W2071275569 hasConcept C153294291 @default.
- W2071275569 hasConcept C164866538 @default.
- W2071275569 hasConcept C205649164 @default.
- W2071275569 hasConcept C39432304 @default.
- W2071275569 hasConcept C41008148 @default.
- W2071275569 hasConceptScore W2071275569C111919701 @default.
- W2071275569 hasConceptScore W2071275569C11413529 @default.
- W2071275569 hasConceptScore W2071275569C124101348 @default.
- W2071275569 hasConceptScore W2071275569C153294291 @default.
- W2071275569 hasConceptScore W2071275569C164866538 @default.
- W2071275569 hasConceptScore W2071275569C205649164 @default.
- W2071275569 hasConceptScore W2071275569C39432304 @default.
- W2071275569 hasConceptScore W2071275569C41008148 @default.
- W2071275569 hasIssue "08" @default.
- W2071275569 hasLocation W20712755691 @default.
- W2071275569 hasOpenAccess W2071275569 @default.
- W2071275569 hasPrimaryLocation W20712755691 @default.
- W2071275569 hasRelatedWork W2333698505 @default.
- W2071275569 hasRelatedWork W2348097614 @default.
- W2071275569 hasRelatedWork W2351491280 @default.
- W2071275569 hasRelatedWork W2358471166 @default.
- W2071275569 hasRelatedWork W2366792704 @default.
- W2071275569 hasRelatedWork W2371447506 @default.
- W2071275569 hasRelatedWork W2386767533 @default.
- W2071275569 hasRelatedWork W2748952813 @default.
- W2071275569 hasRelatedWork W2899084033 @default.
- W2071275569 hasRelatedWork W303980170 @default.
- W2071275569 hasVolume "05" @default.
- W2071275569 isParatext "false" @default.
- W2071275569 isRetracted "false" @default.
- W2071275569 magId "2071275569" @default.
- W2071275569 workType "article" @default.