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Published in:
2006 | OriginalPaper | Chapter
Random Start Forward Searches with Envelopes for Detecting Clusters in Multivariate Data
Authors : Anthony Atkinson, Marco Riani, Andrea Cerioli
Published in: Data Analysis, Classification and the Forward Search
Publisher: Springer Berlin Heidelberg
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During a forward search the plot of minimum Mahalanobis distances of observations not in the subset provides a test for outliers. However, if clusters are present in the data, their simple identification requires that there arc searches that initially include a preponderance of observations from each of the unknown clusters. We use random starts to provide such searches, combined with simulation envelopes for precise inference about clustering.