Introduction:
Md-FKNNreg is a generalized regression model based on the fuzzy k-nearest neighbor (FKNN) rule. The FKNN algorithm, one of the most well-known and effective supervised learning techniques, has often been used in data classification problems but rarely in regression settings. Accordingly, this generalized regression method is introduced and the generalization is based on the usage of the Minkowski distance instead of the usual Euclidean distance. Using the Minkowski distance allows the Md-FKNNreg method to obtain more reasonable nearest neighbors to the target sample. Another key advantage of this method is that the nearest neighbors are weighted by fuzzy weights based on their similarity to the target sample, leading to the most accurate prediction through a weighted average.
Matlab functions:
The functions of the Md-FKNNreg algorithm (Md_FKNNreg.m) and the FKNNreg (FKNNreg) are included. Here, the FKNNreg is the fuzzy k-nearest regression model based on the Euclidean distance.