@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix isothes: <http://purl.org/iso25964/skos-thes#> .

<https://concepts.sagepub.com/social-science/concept/small-area_analysis>
  skos:prefLabel "small-area analysis"@en ;
  a skos:Concept ;
  skos:broader <https://concepts.sagepub.com/social-science/concept/cluster_analysis> .

<https://concepts.sagepub.com/social-science/concept/space-time_clustering>
  skos:prefLabel "space-time clustering"@en ;
  a skos:Concept ;
  skos:broader <https://concepts.sagepub.com/social-science/concept/cluster_analysis> .

<https://concepts.sagepub.com/social-science/concept/statistics_as_topic>
  skos:prefLabel "statistics as topic"@en ;
  a skos:Concept ;
  skos:narrower <https://concepts.sagepub.com/social-science/concept/cluster_analysis> .

<https://concepts.sagepub.com/social-science/concept/cluster_analysis>
  skos:definition "Cluster analysis (CA) is an exploratory data analysis set of tools and algorithms that aims at classifying different objects into groups in a way that the similarity between two objects is maximal if they belong to the same group and minimal otherwise. In biology, CA is an essential tool for taxonomy of plants, animals, or other specimens. [Source: <a href=\"https://methods.sagepub.com/reference/encyc-of-epidemiology/n77.xml\" target=\"_blank\" data-id=\"to-srm\">Encyclopedia of Epidemiology; Cluster Analysis</a>]"@en ;
  skos:narrower <https://concepts.sagepub.com/social-science/concept/similarity_measures>, <https://concepts.sagepub.com/social-science/concept/space-time_clustering>, <https://concepts.sagepub.com/social-science/concept/dendrogram>, <https://concepts.sagepub.com/social-science/concept/units_of_analysis>, <https://concepts.sagepub.com/social-science/concept/agglomerative_methods>, <https://concepts.sagepub.com/social-science/concept/small-area_analysis>, <https://concepts.sagepub.com/social-science/concept/dissimilarity_measures>, <https://concepts.sagepub.com/social-science/concept/clustering_problems>, <https://concepts.sagepub.com/social-science/concept/algorithms> ;
  skos:exactMatch <https://id.nlm.nih.gov/mesh/D016000.html> ;
  a skos:Concept ;
  skos:broader <https://concepts.sagepub.com/social-science/concept/statistics_as_topic> ;
  skos:prefLabel "cluster analysis"@en .

<https://concepts.sagepub.com/social-science/concept/algorithms>
  skos:prefLabel "algorithms"@en ;
  a skos:Concept ;
  skos:broader <https://concepts.sagepub.com/social-science/concept/cluster_analysis> .

<https://concepts.sagepub.com/social-science/concept/similarity_measures>
  skos:prefLabel "similarity measures"@en ;
  a skos:Concept ;
  skos:broader <https://concepts.sagepub.com/social-science/concept/cluster_analysis> .

<https://concepts.sagepub.com/social-science/concept/dendrogram>
  skos:prefLabel "dendrogram"@en ;
  a skos:Concept ;
  skos:broader <https://concepts.sagepub.com/social-science/concept/cluster_analysis> .

<https://concepts.sagepub.com/social-science/concept/units_of_analysis>
  skos:prefLabel "units of analysis"@en ;
  a skos:Concept ;
  skos:broader <https://concepts.sagepub.com/social-science/concept/cluster_analysis> .

<https://concepts.sagepub.com/social-science/concept/dissimilarity_measures>
  skos:prefLabel "dissimilarity measures"@en ;
  a skos:Concept ;
  skos:broader <https://concepts.sagepub.com/social-science/concept/cluster_analysis> .

<https://concepts.sagepub.com/social-science/concept/agglomerative_methods>
  skos:prefLabel "agglomerative methods"@en ;
  a skos:Concept ;
  skos:broader <https://concepts.sagepub.com/social-science/concept/cluster_analysis> .

<https://concepts.sagepub.com/social-science/concept/clustering_problems>
  skos:prefLabel "clustering problems"@en ;
  a skos:Concept ;
  skos:broader <https://concepts.sagepub.com/social-science/concept/cluster_analysis> .

<https://concepts.sagepub.com/social-science/concept/conceptgroup/methods>
  a skos:Collection, isothes:ConceptGroup ;
  skos:prefLabel "methods"@en ;
  skos:member <https://concepts.sagepub.com/social-science/concept/cluster_analysis> .