Bivariate density estimation using BV regularisation
Computational Statistics & Data Analysis
Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation
Neural Information Processing
F-transform with parametric generalized fuzzy partitions
Fuzzy Sets and Systems
| Hi-index | 0.03 |
The problem of specifying a smooth and simple function that approximates noisy data is considered. A new automatic method is described that is based on solving a constrained optimisation problem. The target functional to be minimised is the sum of the squared residuals penalised by the curve length of the approximation. Multiresolution and monotonicity constraints provide a good approximation to the data with a small number of local extreme values. The new method can also be applied to density estimation.