Journal
STATISTICAL ANALYSIS AND DATA MINING
Volume 8, Issue 4, Pages 203-225Publisher
WILEY
DOI: 10.1002/sam.11271
Keywords
model visualization; exploratory data analysis; data mining; classification; high-dimensional data
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Visualization can help in model building, diagnosis, and in developing an understanding about how a model summarizes data. This paper proposes three strategies for visualizing statistical models: (i) display the model in the data space, (ii) look at all members of a collection, and (iii) explore the process of model fitting, not just the end result. Each strategy is accompanied by examples, including manova, classification algorithms, hierarchical clustering, ensembles of linear models, projection pursuit, self-organizing maps, and neural networks. (C) 2015 Wiley Periodicals, Inc.
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