Publisher review:PCP Application is an open-source machine learning program for supervised classification of patterns (vectors of measurements). This application is an open-source machine learning program for supervised classification of patterns (vectors of measurements). PCP implements the following algorithms and methods:
- Fisher's linear discriminant
- dimensionality reduction using Singular Value Decomposition
- Principal Component Analysis
- feature subset selection
- Bayes error estimation
- parametric classifiers (linear and quadratic)
- least-squares (pseudo-inverse) linear discriminant
- k-Nearest Neighbor (k-NN)
- neural networks (Multi-Layer Perceptron (MLP))
- Support Vector Machine (SVM) algorithm
- SVM, MLP and k-NN model selection
- cross-validation
- bagging (committee) classification
The program supports interactive and batch processing. Commands are issued through a keyboard-driven menu system in the interactive mode, or in a batch file in the batch mode. It is a binary executable and does not need any special run-time environment. PCP uses tab-delimited text files for input data. The results are displayed on the screen and saved in text files.
PCP Application 2.2 is a C/C++ script for Earth Sciences scripts design by Ljubomir Buturovic.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
PCP Application is an open-source machine learning program for supervised classification of patterns (vectors of measurements).
Operating system:Windows / Linux / Mac OS / BSD / Solaris
PCP Application 2.2 script details 
