A Tutorial on Dimensionality Reduction in Large Claims Data Sets
نویسندگان
چکیده
منابع مشابه
A Computational Framework for Nonlinear Dimensionality Reduction of Large Data Sets: The Exploratory Inspection Machine (XIM)
In this paper, we present a novel computational framework for nonlinear dimensionality reduction which is specifically suited to process large data sets: the Exploratory Inspection Machine (XIM). XIM introduces a conceptual cross-link between hitherto separate domains of machine learning, namely topographic vector quantization and divergence-based neighbor embedding approaches. There are three ...
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ژورنال
عنوان ژورنال: Value in Health
سال: 2014
ISSN: 1098-3015
DOI: 10.1016/j.jval.2014.08.1822