Hinging hyperplane based regression tree identified by fuzzy clustering and its application in matlab

The following Matlab project contains the source code and Matlab examples used for hinging hyperplane based regression tree identified by fuzzy clustering and its application. Hierarchical fuzzy modeling techniques have great advantage since model accuracy and complexity can be easily controlled thanks to the transparent model structures.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
1-s2.0-S1568494612004474-main.pdf 1020196
abalone.txt 187696
AUTO-MPG.DAT 30286
BostonData.data 50602
BOXJEN.DAT 9214
chk_data.mat 11168
DataDelgado.mat 156000
FriedData.data 531000
iris.mat 8584
kin8nm.txt 704469
regres.mat 1856
ThreeDSinData.data 147000
trn_data.mat 11168
wine.wk1 38575
autompg.m 859
buildtree.m 3500
calculateFromTree.m 241
calculateTrainedTreeError.m 178
clust_denormalize.m 710
clust_normalize.m 705
consproject.m 1444
constrid.m 1666
estimator.m 1981
extract.m 565
fcr.m 4720
findRoute.m 1224
findterminals.m 1014
gaussmf.m 1459
gener.m 8594
Gkj.m 5664
hingetree.m 2587
loaddata.m 1972
normal.m 1003
poststd.m 2553
prestd.m 2385
qp.m 36271
rmse.m 1060
tls.m 1386
tlsid.m 1360
trastd.m 2264
treeplots2.m 2226
treeplots3.m 2333
validateNodes.m 643
example.m 1763
license.txt 1502

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