| Developer Documentation |
| Centre for Vision, Speech & Signal Processing |
| USER | IN NAMESPACE | AMMA TREE ROOT | AMMA SEARCH | AMMA HOME |
| ClassifyNormalRBFuncC | |
| Radial Basis Function clustering algorithm. This uses the EM algorithm to compute the parameters of a set of Gaussian based radial basis functions. If each function is treated as a seperate cluster (with a normal distribution) then they can be seen a clustering algorithm | |
| include | "amma/Num/ClassifyNormalRBFunc.hh" |
| User Level: | Default |
| Library: | NumRBF |
| Example: | doNormalRbf.cc |
| Section: | Pattern Recognition.Radial Basis Functions |
| In Scope: | std |
Parent Classes:
| trainX | list of training vectors |
| numClusters | number of clusters to form |
| rbf | construct from radial basis function |
| #include "amma/Num/NumClassifyUnsupervised.hh" |
| numClasses | number of clusters that will be set up |
| trainX | training samples used to determine initial centers |
| #include "amma/Num/NumClassify.hh" |
| #include "amma/Num/NumFunc.hh" |
| #include "amma/DP/Process.hh" |
| #include "amma/DP/Entity.hh" |
| #include "amma/RCHandleA.hh" |
| #include "amma/RCHandle.hh" |
| Programmer:Kieron Messer, Documentation by CxxDoc: Tue Mar 20 10:49:27 2001 |