Documentation

This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

라이선스가 부여된 사용자만 번역 문서를 볼 수 있습니다. 번역 문서를 보려면 로그인하십시오.

Hierarchical Clustering

Produce nested sets of clusters

Hierarchical clustering groups data into a multilevel cluster tree or dendrogram. If your data is hierarchical, this technique can help you choose the level of clustering that is most appropriate for your application.

Functions

clusterConstruct agglomerative clusters from linkages
clusterdataAgglomerative clusters from data
cophenetCophenetic correlation coefficient
inconsistentInconsistency coefficient
linkageAgglomerative hierarchical cluster tree
pdistPairwise distance between pairs of observations
squareformFormat distance matrix

Topics

Introduction to Cluster Analysis

Understand the basic types of cluster analysis.

Hierarchical Clustering

Group data into a multilevel hierarchy of clusters.

Was this topic helpful?