374 search results - page 9 / 75 » Robust kernel density estimation |
IDA
2007
Springer
15 years 3 months ago
2007
Springer
The Denclue algorithm employs a cluster model based on kernel density estimation. A cluster is defined by a local maximum of the estimated density function. Data points are assign...
58
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Moment matching is a popular means of parametric density estimation. We extend this technique to nonparametric estimation of mixture models. Our approach works by embedding distri...
86
Voted
TSMC
2010
14 years 4 months ago
2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
CSDA
2010
14 years 9 months ago
2010
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
CIKM
2006
Springer
15 years 1 months ago
2006
Springer
A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...