Cophenetic correlation (original) (raw)
In statistics, and especially in biostatistics, cophenetic correlation (more precisely, the cophenetic correlation coefficient) is a measure of how faithfully a dendrogram preserves the pairwise distances between the original unmodeled data points. Although it has been most widely applied in the field of biostatistics (typically to assess cluster-based models of DNA sequences, or other taxonomic models), it can also be used in other fields of inquiry where raw data tend to occur in clumps, or clusters. This coefficient has also been proposed for use as a test for nested clusters.
| Property | Value |
|---|---|
| dbo:abstract | In statistics, and especially in biostatistics, cophenetic correlation (more precisely, the cophenetic correlation coefficient) is a measure of how faithfully a dendrogram preserves the pairwise distances between the original unmodeled data points. Although it has been most widely applied in the field of biostatistics (typically to assess cluster-based models of DNA sequences, or other taxonomic models), it can also be used in other fields of inquiry where raw data tend to occur in clumps, or clusters. This coefficient has also been proposed for use as a test for nested clusters. (en) |
| dbo:wikiPageExternalLink | http://people.revoledu.com/kardi/tutorial/Clustering/index.html https://stackoverflow.com/questions/5639794/in-r-how-can-i-plot-a-similarity-matrix-like-a-block-graph-after-clustering-d |
| dbo:wikiPageID | 10113455 (xsd:integer) |
| dbo:wikiPageLength | 3724 (xsd:nonNegativeInteger) |
| dbo:wikiPageRevisionID | 1043562105 (xsd:integer) |
| dbo:wikiPageWikiLink | dbr:Python_(programming_language) dbr:SciPy dbr:Biostatistics dbr:DNA dbc:Covariance_and_correlation dbr:Cophenetic dbr:MATLAB dbr:Statistics dbr:Dendrogram dbr:Taxonomy_(biology) dbr:R_(programming_language) |
| dbp:wikiPageUsesTemplate | dbt:Reflist |
| dcterms:subject | dbc:Covariance_and_correlation |
| gold:hypernym | dbr:Measure |
| rdf:type | dbo:Software |
| rdfs:comment | In statistics, and especially in biostatistics, cophenetic correlation (more precisely, the cophenetic correlation coefficient) is a measure of how faithfully a dendrogram preserves the pairwise distances between the original unmodeled data points. Although it has been most widely applied in the field of biostatistics (typically to assess cluster-based models of DNA sequences, or other taxonomic models), it can also be used in other fields of inquiry where raw data tend to occur in clumps, or clusters. This coefficient has also been proposed for use as a test for nested clusters. (en) |
| rdfs:label | Cophenetic correlation (en) |
| owl:sameAs | freebase:Cophenetic correlation wikidata:Cophenetic correlation https://global.dbpedia.org/id/4iQ4M |
| prov:wasDerivedFrom | wikipedia-en:Cophenetic_correlation?oldid=1043562105&ns=0 |
| foaf:isPrimaryTopicOf | wikipedia-en:Cophenetic_correlation |
| is dbo:wikiPageWikiLink of | dbr:Correlation dbr:Genetic_studies_on_Sinhalese dbr:Genetic_studies_on_Sri_Lankan_Tamils dbr:Cophenetic dbr:Sri_Lankan_Moors dbr:List_of_statistics_articles |
| is foaf:primaryTopic of | wikipedia-en:Cophenetic_correlation |