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How to run an Agglomerative Hierarchical Clustering (AHC) on big datasets in XLSTAT?

11,828 views October 27, 2011 5:55

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This video is explaining how to run an Agglomerative Hierarchical Clustering (AHC) on big datasets in XLSTAT.

The idea is to decompose the problem in 3 steps:

1) First do a k-means clustering to reduce the number of samples to classify by AHC
2) Run an Agglomerative Hierarchical Clustering (AHC) on the centroids of the clusters and determine the number of classes
3) Attribute the samples in the clusters to the classes defined by AHC

The data and explaination about this video can be found on our website: xlstat.com/en/support/tutorials/k-means_AHC.htm

How to run an Agglomerative Hierarchical Clustering (AHC) on big datasets in XLSTAT? Do first a k-means clustering and then a HCA.

About this tutorial

XLSTAT published this 5:55 video tutorial on October 27, 2011. It has been watched 11,828 times on YouTube.

Channel
XLSTAT
Duration
5:55
Published
October 27, 2011
Views
11,828
Likes
22

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