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Hierarchical Clustering and K-Means Clustering to Identify Subgroups in Surveys (50 Patients)

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Abstract

Clusters are subgroups in a survey estimated by the distances between the values needed to connect the patients, otherwise called cases. It is an important methodology in explorative data mining.

Supplementary material

333106_2_En_1_MOESM1_ESM.sav (1 kb)
hierk-meansdensity (SAV 1 kb)

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department Medicine Albert Schweitzer HospitalDordrechtThe Netherlands
  2. 2.Academic Medical CenterDepartment Biostatistics and EpidemiologyAmsterdamThe Netherlands

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