A new class of metrics for learning on real-valued and structured data

22 Mar 2016Ruiyu YangYuxiang JiangScott MathewsElizabeth A. HousworthMatthew W. HahnPredrag Radivojac

We propose a new class of metrics on sets, vectors, and functions that can be used in various stages of data mining, including exploratory data analysis, learning, and result interpretation. These new distance functions unify and generalize some of the popular metrics, such as the Jaccard and bag distances on sets, Manhattan distance on vector spaces, and Marczewski-Steinhaus distance on integrable functions... (read more)

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