Randomforest Example

create dataset, grow trees, classifying data and visualization

randomforest example

based on Shotton et al., Real-time human pose recognition in parts from single depth images, CVPR,2011

files:
1. makeclick.m -- to make dataset by clicking
2. makespiral.m --to make dataset by using a spiral function
3. rt1.m --main script for growing the forest
4. branch.m --class of each branch of a tree for growing a tree
5. sbranch.m --class of each branch with smaller size of memory for classifying
6. show.m --show classified data elements
7. intermap.m --flat shading to represent areas of classes
8. flatmap.m --flat shading to represent areas of classes

This example includes dataset generator by
-clicking (makeclick.m)
-and using a spiral function (makespiral.m).

The dataset is saved into data.mat.

Once the dataset is ready use a script rt1.m to grow your randomforest.
Each random tree is save in treexx.mat.
Therefore, we can classify an unknown data by using scripts:
-show.m --colored markers
-intermap.m --flat shading to represent areas of classes
-flatmap.m --flat shading to represent areas of classes

enjoy your randomforest!

Wasit Limprasert
email:[e-mail]