scholarly journals An Unsupervised Learning Technique for Typing Cones in the Retinal Mosaic

2012 ◽  
Vol 12 (9) ◽  
pp. 110-110
Author(s):  
N. Benson ◽  
D. Brainard
Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 507 ◽  
Author(s):  
José García ◽  
Paola Moraga ◽  
Matias Valenzuela ◽  
Hernan Pinto

This article proposes a hybrid algorithm that makes use of the db-scan unsupervised learning technique to obtain binary versions of continuous swarm intelligence algorithms. These binary versions are then applied to large instances of the well-known multidimensional knapsack problem. The contribution of the db-scan operator to the binarization process is systematically studied. For this, two random operators are built that serve as a baseline for comparison. Once the contribution is established, the db-scan operator is compared with two other binarization methods that have satisfactorily solved the multidimensional knapsack problem. The first method uses the unsupervised learning technique k-means as a binarization method. The second makes use of transfer functions as a mechanism to generate binary versions. The results show that the hybrid algorithm using db-scan produces more consistent results compared to transfer function (TF) and random operators.


CHEST Journal ◽  
2016 ◽  
Vol 149 (4) ◽  
pp. A104
Author(s):  
Wei-jie Guan ◽  
Mei Jiang ◽  
Yong-hua Gao ◽  
Hui-min Li ◽  
Gang Xu ◽  
...  

2011 ◽  
Vol 12 (Suppl 10) ◽  
pp. S11 ◽  
Author(s):  
Halil Bisgin ◽  
Zhichao Liu ◽  
Hong Fang ◽  
Xiaowei Xu ◽  
Weida Tong

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