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Feb 13

Pattern Recognition Package

Posted by abiao at 16:46 | Code » Matlab | Comments(0) | Reads(6755)
Pattern recognition is a sub-topic of machine learning. It is "the act of taking in raw data and taking an action based on the category of the data".Most research in pattern recognition is about methods for supervised learning and unsupervised learning. another black-box as neural network.

Pattern recognition aims to classify data (patterns) based either on a priori knowledge or on statistical information extracted from the patterns. The patterns to be classified are usually groups of measurements or observations, defining points in an appropriate multidimensional space. This is in contrast to pattern matching, where the pattern is rigidly specified.

PRTools supplies about 200 user routines for traditional statistical pattern recognition tasks. It includes procedures for data generation, training classifiers, combining classifiers, features selection, linear and non-linear feature extraction, density estimation, cluster analysis, evaluation and visualisation. It is intended to aid students and researchers in designing and evaluating new algorithms and in building prototypes.

Matlab package and manual are available at http://www.prtools.org/download.html

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