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Fast feature selection for interval-valued data through kernel density estimation entropy

International Journal of Machine Learning and Cybernetics, 2020
Jianhua Dai   +3 more
semanticscholar   +1 more source

Density Estimation

1989
Lázió Györfi   +3 more
openaire   +1 more source

Density Estimation

2019
Silvelyn Zwanzig, Behrang Mahjani
openaire   +1 more source

Pareto Density Estimation: A Density Estimation for Knowledge Discovery

2005
Pareto Density Estimation (PDE) as defined in this work is a method for the estimation of probability density functions using hyperspheres. The radius of the hyperspheres is derived from optimizing information while minimizing set size. It is shown, that PDE is a very good estimate for data containing clusters of Gaussian structure. The behavior of the
openaire   +1 more source

Density estimation

2018
José E. Chacón, Tarn Duong
openaire   +1 more source

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