Dependence maps, a dimensionality reduction with dependence distance for high-dimensional data

作者：Lee Kichun^*; Gray Alexander; Kim Heeyoung

来源：Data Mining and Knowledge Discovery, 2013, 26(3): 512-532.

DOI：10.1007/s10618-012-0267-9

• Dependence maps
• Dimensionality reduction
• Dependence
• Markov chain

We introduce the dependence distance, a new notion of the intrinsic distance between points, derived as a pointwise extension of statistical dependence measures between variables. We then introduce a dimension reduction procedure for preserving this distance, which we call the dependence map. We explore its theoretical justification, connection to other methods, and empirical behavior on real data sets.

• 出版日期2013-5