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A new approach to classification with the least number of features
Sascha Klement,
Thomas Martinetz
Institute of Neuro- and Bioinformatics
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Engineering & Materials Science
Microarrays
100%
Magnetic Resonance Imaging
99%
Genomics
91%
Tissue
74%
Support vector machines
70%
Feature extraction
67%
Machine learning
64%