|
patternrecognition.co.za |
||||
|
Home | News | Services | Downloads | Forum | About us | Contact us |
||||
|
|
||||
| Return Home Resources Publications Conference papers Source Code Classifier source code Tutorials Pattern recognition tutorials Terminology Definitions of pattern recognition terms Pattern Recognition Applications A summary of pattern recognition applications Classification Applet Applet Online implementation of various classifiers Data Set Format Description of the data set format used for the classification applet Example Data Sets Downloadable data set examples Classification Applet Documentation Description of the algorithms used
|
Data Set Format
A data set consists of a number of observations/patterns. An observation is represented by a 1xd dimensional vector, where d is the dimensionality of the feature space. Each observation has a corresponding class label, the class labels have values from 0,...,C-1 where C is the total number of classes. Each row in a data set represents a single observation with the class label appended at the end. The variables and class label in an observation are separated by a comma. The following is an example of a data set. 1, 10, 100, 1000, 0 4, 20, 80, 5, 1 100, 50,10,40, 2 The data set contains 3 observations, the dimensionality of the feature space is 4 and each observation belongs to a different class. Example data sets are available here.
|
|
||
|
|
||||
|
Copyright 2007. www.patternrecognition.co.za |
||||