Matches in SemOpenAlex for { <https://semopenalex.org/work/W4294141750> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4294141750 abstract "Clustering is the partitioning of a set of objects into groups (clusters) so that objects within a group are more similar to each others than objects in different groups. Most of the clustering algorithms depend on some assumptions in order to define the subgroups present in a data set. As a consequence, the resulting clustering scheme requires some sort of evaluation as regards its validity. The evaluation procedure has to tackle difficult problems such as the quality of clusters, the degree with which a clustering scheme fits a specific data set and the optimal number of clusters in a partitioning. In the literature, a wide variety of indices have been proposed to find the optimal number of clusters in a partitioning of a data set during the clustering process. However, for most of indices proposed in the literature, programs are unavailable to test these indices and compare them. The R package NbClust has been developed for that purpose. It provides 30 indices which determine the number of clusters in a data set and it offers also the best clustering scheme from different results to the user. In addition, it provides a function to perform k-means and hierarchical clustering with different distance measures and aggregation methods. Any combination of validation indices and clustering methods can be requested in a single function call. This enables the user to simultaneously evaluate several clustering schemes while varying the number of clusters, to help determining the most appropriate number of clusters for the data set of interest." @default.
- W4294141750 created "2022-09-02" @default.
- W4294141750 creator A5003027352 @default.
- W4294141750 creator A5038766008 @default.
- W4294141750 creator A5063145283 @default.
- W4294141750 creator A5081516584 @default.
- W4294141750 date "2014-01-01" @default.
- W4294141750 modified "2023-10-18" @default.
- W4294141750 title "<b>NbClust</b>: An<i>R</i>Package for Determining the Relevant Number of Clusters in a Data Set" @default.
- W4294141750 doi "https://doi.org/10.18637/jss.v061.i06" @default.
- W4294141750 hasPublicationYear "2014" @default.
- W4294141750 type Work @default.
- W4294141750 citedByCount "1553" @default.
- W4294141750 countsByYear W42941417502012 @default.
- W4294141750 countsByYear W42941417502015 @default.
- W4294141750 countsByYear W42941417502016 @default.
- W4294141750 countsByYear W42941417502017 @default.
- W4294141750 countsByYear W42941417502018 @default.
- W4294141750 countsByYear W42941417502019 @default.
- W4294141750 countsByYear W42941417502020 @default.
- W4294141750 countsByYear W42941417502021 @default.
- W4294141750 countsByYear W42941417502022 @default.
- W4294141750 countsByYear W42941417502023 @default.
- W4294141750 crossrefType "journal-article" @default.
- W4294141750 hasAuthorship W4294141750A5003027352 @default.
- W4294141750 hasAuthorship W4294141750A5038766008 @default.
- W4294141750 hasAuthorship W4294141750A5063145283 @default.
- W4294141750 hasAuthorship W4294141750A5081516584 @default.
- W4294141750 hasBestOaLocation W42941417501 @default.
- W4294141750 hasConcept C124101348 @default.
- W4294141750 hasConcept C14036430 @default.
- W4294141750 hasConcept C149872217 @default.
- W4294141750 hasConcept C154945302 @default.
- W4294141750 hasConcept C17212007 @default.
- W4294141750 hasConcept C177264268 @default.
- W4294141750 hasConcept C186767784 @default.
- W4294141750 hasConcept C199360897 @default.
- W4294141750 hasConcept C22648726 @default.
- W4294141750 hasConcept C33704608 @default.
- W4294141750 hasConcept C41008148 @default.
- W4294141750 hasConcept C58489278 @default.
- W4294141750 hasConcept C73555534 @default.
- W4294141750 hasConcept C77088390 @default.
- W4294141750 hasConcept C78458016 @default.
- W4294141750 hasConcept C86803240 @default.
- W4294141750 hasConcept C88548561 @default.
- W4294141750 hasConcept C92835128 @default.
- W4294141750 hasConcept C94641424 @default.
- W4294141750 hasConceptScore W4294141750C124101348 @default.
- W4294141750 hasConceptScore W4294141750C14036430 @default.
- W4294141750 hasConceptScore W4294141750C149872217 @default.
- W4294141750 hasConceptScore W4294141750C154945302 @default.
- W4294141750 hasConceptScore W4294141750C17212007 @default.
- W4294141750 hasConceptScore W4294141750C177264268 @default.
- W4294141750 hasConceptScore W4294141750C186767784 @default.
- W4294141750 hasConceptScore W4294141750C199360897 @default.
- W4294141750 hasConceptScore W4294141750C22648726 @default.
- W4294141750 hasConceptScore W4294141750C33704608 @default.
- W4294141750 hasConceptScore W4294141750C41008148 @default.
- W4294141750 hasConceptScore W4294141750C58489278 @default.
- W4294141750 hasConceptScore W4294141750C73555534 @default.
- W4294141750 hasConceptScore W4294141750C77088390 @default.
- W4294141750 hasConceptScore W4294141750C78458016 @default.
- W4294141750 hasConceptScore W4294141750C86803240 @default.
- W4294141750 hasConceptScore W4294141750C88548561 @default.
- W4294141750 hasConceptScore W4294141750C92835128 @default.
- W4294141750 hasConceptScore W4294141750C94641424 @default.
- W4294141750 hasIssue "6" @default.
- W4294141750 hasLocation W42941417501 @default.
- W4294141750 hasOpenAccess W4294141750 @default.
- W4294141750 hasPrimaryLocation W42941417501 @default.
- W4294141750 hasRelatedWork W2592952084 @default.
- W4294141750 hasRelatedWork W2770741777 @default.
- W4294141750 hasRelatedWork W2953704715 @default.
- W4294141750 hasRelatedWork W3192757256 @default.
- W4294141750 hasRelatedWork W4200404937 @default.
- W4294141750 hasRelatedWork W4205848272 @default.
- W4294141750 hasRelatedWork W4233099250 @default.
- W4294141750 hasRelatedWork W4280580511 @default.
- W4294141750 hasRelatedWork W1491908038 @default.
- W4294141750 hasRelatedWork W2182836188 @default.
- W4294141750 hasVolume "61" @default.
- W4294141750 isParatext "false" @default.
- W4294141750 isRetracted "false" @default.
- W4294141750 workType "article" @default.