Unsupervised Learning with R by Erik Rodriguez Pacheco
Author:Erik Rodriguez Pacheco [Pacheco, Erik Rodriguez]
Language: eng
Format: epub, pdf
Publisher: Packt Publishing
Published: 2015-12-02T23:00:00+00:00
The example shows just some of the statistics. The cluster.stats function may generate more.
Hierarchical clustering with factors
As mentioned in clustering techniques based on similarity and distance, these concepts are traditionally associated with numerical variables. Hence, clustering techniques are used for numeric variables.
However, it is very likely that, at some point, you will find a problem that ought to consider a qualitative variable. We will look at a way to do this directly in the R console in the following.
We will work with a new dataset, which is located in the following package of CRAN:
Package: ElemStatLearn
Dataset: SAheart: South African Hearth Disease Data
Description:A retrospective sample of males in a high-risk heart-disease region of the Western Cape, South Africa.
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