Statistics for Categorical Surveys—A New Strategy for Multivariate Classification and Determining Variable Importance
Surveys can be a rich source of information. However, the extraction of underlying variables from the analysis of mixed categoric and numeric survey data is fraught with complications when using grouping techniques such as clustering or ordination. Here I present a new strategy to deal with classifi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2010-02-01
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| Series: | Sustainability |
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| Online Access: | http://www.mdpi.com/2071-1050/2/2/533/ |