Hierarchical clustering
id:
hierarchical-clustering-167-11545399
title:
Hierarchical clustering
text:
In data mining and statistics, hierarchical clustering is a method of cluster analysis that seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into two categories:
- Agglomerative: This is a "bottom-up" approach: Each observation starts in its own cluster, and pairs of clusters are merged as one moves up the hierarchy.
- Divisive: This is a "top-down" approach: All observations start in one cluster, and splits are performed recursively as one moves
brand slug:
wiki
category slug:
encyclopedia
description:
Statistical method of analysis which seeks to build a hierarchy of clusters
original url:
https://en.wikipedia.org/wiki/Hierarchical_clustering
date created:
2004-02-20T01:38:40Z
date modified:
2024-08-30T16:11:55Z
main entity:
{"identifier":"Q1277447","url":"https://www.wikidata.org/entity/Q1277447"}
image:
fields total:
13
integrity:
15