Pattern Classification Program is a machine learning software designed for classifying patterns.
The program has two modes of processing, interactive and batch processing. Users can issue commands through a keyboard-driven menu system in the interactive mode while executing commands through batch files in batch mode. The software is straightforward and does not need any special run-time environment. PCP accepts tab-delimited text files for input data and saves results both on-screen and on a text file.
The Pattern Classification Program works on Linux and Windows operating systems with the i386 architecture CPU such as Intel Pentium or AMD Athlon. Developers tested and developed the software using RedHat Linux 9.0 distribution. It is also compatible with SUSE Linux 9.1, Fedora Core 2, Knoppix 3.7, and Windows XP.
The latest release comes with several improvements and bug fixes. For example, model selection support is available for the linear SVM kernel, and an option to build SVD transforms using a training or test dataset is also available. Additionally, P-errors are now reported in SVM model selection, and the build process was simplified.
Version 2.2: N/A