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66## Introduction
7- * This toolbox offers a Binary Atom Search Optimization (BASO)
7+ * This toolbox offers a Binary Atom Search Optimization ( BASO )
88* The < Main.m file > illustrates the example of how BASO can solve the feature selection problem using benchmark data-set.
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11+ ## Input
12+ * feat : feature vector ( instances * x* features )
13+ * label : label vector ( instances * x* 1 )
14+ * N : number of atoms
15+ * max_Iter : maximum number of iterations
16+ * alpha : depth weight
17+ * beta : multiplier weight
18+
19+
20+ ## Output
21+ * sFeat : selected features
22+ * Sf : selected feature index
23+ * Nf : number of selected features
24+ * curve : convergence curve
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26+
1127### Example
1228``` code
1329% Benchmark data set
@@ -35,6 +51,11 @@ title('BASO'); grid on;
3551```
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54+ ## Requirement
55+ * MATLAB 2014 or above
56+ * Statistics and Machine Learning Toolbox
57+
58+
3859## Cite As
3960``` code
4061@article{too2020binary,
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