[Case Study]Customer Segmentation using Self-Organising Maps(R)

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Self-Organising Maps (SOMs) are an unsupervised data visualisation technique that can be used to visualise high-dimensional data sets in lower (typically 2) dimensional representations. In this post, we examine the use of R to create a SOM for customer segmentation. The figures shown here used use the 2011 Irish Census information for the greater Dublin area as an example data set. This work is based on a talk given to the Dublin R Usersgroup in January 2014.

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Customer Segmentation using Self-Organising Maps(R).pdf (3.32 MB)

2015-2-11 03:02:01 上传

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关键词：Segmentation Organising Case study Customer segment customer examine create 2011 2014

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