Visualizing statistical models: Removing the blindfold
نویسندگان
چکیده
Abstract: 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: (1) display the model in the data space, (2) look at all members of a collection, and (3) 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.
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ورودعنوان ژورنال:
- Statistical Analysis and Data Mining
دوره 8 شماره
صفحات -
تاریخ انتشار 2015