agglomerative clustering methods Methods for grouping multivariate data into clusters . Suppose there are n data items. The agglomerative clustering methods start by regarding these as n separate clusters of size 1. The two clusters judged closest together (on some criterion) are then merged to reduce the number of clusters to ( n  − 1). This procedure continues until all the items are collected into a single cluster.

The three simplest criteria are as follows. In single linkage clustering the distance between two ...

More articles like this:

See all results, or try Advanced Search.

We're searching over:

• 60 million articles
• 3,500 publications