Title
Adaptive methods for center choosing of radial basis function interpolation: a review
Abstract
Radial basis functions provide powerful meshfree method for multivariate interpolation for scattered data. But both the approximation quality and stability depend on the distribution of the center set. Many methods have been constructed to select optimal center sets for radial basis function interpolation. A review of these methods is given. Four kinds of center choosing algorithms which are thinning algorithm, greedy algorithm, arclength equipartition like algorithm and k-means clustering algorithm are introduced with some algorithmic analysis.
Year
DOI
Venue
2010
10.1007/978-3-642-16167-4_73
ICICA (LNCS)
Keywords
Field
DocType
adaptive method,algorithmic analysis,multivariate interpolation,optimal center set,radial basis function,greedy algorithm,approximation quality,powerful meshfree method,center set,radial basis function interpolation,arclength equipartition,k means clustering
Nearest-neighbor interpolation,Mathematical optimization,Radial basis function network,Multivariate interpolation,Interpolation,Algorithm,Stairstep interpolation,Trilinear interpolation,Linear interpolation,Mathematics,Inverse quadratic interpolation
Conference
Volume
ISSN
ISBN
6377
0302-9743
3-642-16166-9
Citations 
PageRank 
References 
0
0.34
7
Authors
5
Name
Order
Citations
PageRank
Dianxuan Gong195.91
Chuanan Wei2207.98
Ling Wang300.34
Lichao Feng477.00
Lidong Wang515423.64