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URL: http://stat.ethz.ch/R-manual/R-patched/library/stats/html/hclust.html
Proper Citation: Hierarchical Clustering (RRID:SCR_014673)
Description: R documentation for hierarchical cluster analysis on a set of dissimilarities for n objects. Each object is assigned to its own cluster, which an algorithm proceeds through iteratively. Two of the most similar clusters are joined at each stage until there is a single cluster. Distances between clusters are recomputed at each stage by the Lance–Williams dissimilarity update formula according to the particular clustering method being used. Clustering methods include: Ward's minimum variance method, complete linkage method, and single linkage method.
Synonyms: R: Hierarchical Clustering, R - Hierarchical Clustering
Resource Type: data analysis software, data processing software, software application, software resource, source code
Keywords: statistical analysis, statistical analysis package, r, r package, data analysis, software, cluster, hierarchical, dissimilarity, clustering method, metabolomics
Availability: Acknowledgement requested
Resource Name: Hierarchical Clustering
Resource ID: SCR_014673
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400