This is Doxygen-generated documentation of the C++ Feature Selection Toolbox 3 library. The library implements several cutting edge feature selection methods as well as feature selection criteria + supporting data modeling tools and classifiers
The library takes extensive use of templates and the Boost library (http://www.boost.org)
This is the documentation of library version 3.1.0.beta.
#title Medical data
; 2-class 33-dimensional data representing tissue samples
; 128 samples of benign tissue, 222 samples of malignant tissue
#classes 2 128,222
13.54 14.36 87.46 566.3 0.09779 0.08129
0.06664 0.04781 0.1885 0.05766 0.2699 0.7886
2.058 23.56 0.008462 0.0146 0.02387 0.01315
#titleline is optional. The
#classeslines are mandatory. The
#featureskeyword must be followed by a value depicting the number of features, separated by whitespace. The
#classeskeyword must be followed by a value depicting the number of classes, then by whitespace, and then by a series of class sizes separated by commas. The ";" character at the beginning of a line depicts comment. Comments may appear anywhere inside header, but not after the header. No keywords, comments or special characters may occur after the
#datakeyword, which depicts the start of the actual data.
Basic numeric types:
data sample values - usually real numbers, but may be integers in text processing etc.
Dept. of Pattern Recognition
UTIA, Institute of Information Theory and Automation
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Institute of Information Theory and Automation (UTIA), Academy of Sciences of the Czech Republic, Prague. All rights reserved.