CLUSTER: Stata module to perform nonhierarchical k-means (or k-medoids) cluster analysis

Dean Judson ()

Statistical Software Components from Boston College Department of Economics

Abstract: Cluster performs nonhierarchical k-means (or k-medoids) cluster analysis of your data. Centroid cluster analysis is a simple method that groups cases based on their proximity to a multidimensional centroid or medoid. Cluster.do provides an example of usage.

Language: Stata
Requires: centroid.ado, medoid.ado
Date: 1998-10-20
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/c/cluster.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/c/cluster.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/m/medoid.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/medoid.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/c/centroid.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/c/centroid.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/c/cluster.do example file (text/plain)
http://fmwww.bc.edu/repec/bocode/w/wdat5.zip sample Stata data file (application/zip)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s358403

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().