Pattern Recognition Toolbox

Version 1.3.0.0 (18.3 MB) by Peter
Free pattern recognition toolbox for MATLAB
4.7
(7)
10.8K Downloads
Updated 3 Jul 2018
View License on GitHub

The Pattern Recognition Toolbox (PRT) for MATLAB (tm) is a framework of pattern recognition and machine learning tools that are powerful, expressive, and easy to use.
Create a data set from your data (X ~ N x F) and labels (Y ~ N x 1):
ds = prtDataSetClass(X,Y);

and run Z-score normalization + an SVM:

algo = prtPreProcZmuv + prtClassLibSvm;
dsOut = algo.kfolds(ds);

And score the results:

prtScoreRoc(dsOut);

It's that easy. It's free. Have fun.

Installation instructions:
http://newfolder.github.io/prtdoc/prtDocInstallation.html

Additional documentation & (rarely updated) blog available here:
http://newfolder.github.io/

Cite As

Peter (2025). Pattern Recognition Toolbox (https://github.com/covartech/PRT), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

+prtExternal/+DataHash

+prtExternal/+IPDM

+prtExternal/+ScrollPanel

+prtExternal/+clickA3DPoint

+prtExternal/+combinator

+prtExternal/+freezeColors

+prtExternal/+json

+prtExternal/+kde

+prtExternal/+kde2d

+prtExternal/+next_comb_perm

+prtExternal/+struct2table

+prtExternal/+structdlg

+prtExternal/+yaml

+prtExternal/+yaml/YAMLMatlab

+prtOptions

]beta/brv

]beta/graph

]beta/graph/dataGen

]beta/graph/graphExamples

]beta/graph/graphUtil

]submissions/Manandhar2012

]submissions/Ratto2012

big

big/dataHandlers

class

cluster

dataGen

decision

distance

doc

engine

engine/dataset

eval

featSel

kernels

multipleInstance

options

outlierRemoval

plot/ui

plot/util

preProc

regress

rv

rv/util

score

score/metrics

util

util/mex/prtRvUtilLogForwardsBackwards

util/mex/prtUtilSumExp

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.3.0.0

Added PNG logo, updated comments and tags
1.2.0.0

fixed links to blog and documentation
1.1.0.0

added link to documentation and installation instructions
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.