Hierarchical Cluster Analysis : Comparison of Three Linkage Measures and Application to Psychological Data

@inproceedings{Yim2014HierarchicalCA,
  title={Hierarchical Cluster Analysis : Comparison of Three Linkage Measures and Application to Psychological Data},
  author={Odilia Yim and Kylee T. Ramdeen},
  year={2014}
}
Cluster analysis refers to a class of data reduction methods used for sorting cases, observations, or variables of a given dataset into homogeneous groups that differ from each other. The present paper focuses on hierarchical agglomerative cluster analysis, a statistical technique where groups are sequentially created by systematically merging similar clusters together, as dictated by the distance and linkage measures chosen by the researcher. Specific distance and linkage measures are reviewed… CONTINUE READING