Abstract
Large multivariate datasets may provide a wealth of information, but often prove difficult to comprehend as a whole; therefore, methods to summarize and extract relevant information are essential. Such methods are the multivariate classification procedures, which use multiple variables to identify characteristics that groups of individuals have in common.
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Distefano, C., Mindrila, D. (2013). Cluster Analysis. In: Teo, T. (eds) Handbook of Quantitative Methods for Educational Research. SensePublishers, Rotterdam. https://doi.org/10.1007/978-94-6209-404-8_5
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DOI: https://doi.org/10.1007/978-94-6209-404-8_5
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