Research Article
Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification
Algorithm 3
SLLE-SC2 method description.
Input: Data set | Output: Feature genes set | Step 1. = null; flag set flag = null; // the initial state is empty; | Step 2. SLLE // using Algorithm 1 for feature genes selection; | Step 3. for do; | calculate the contribution of attributes respectively by PCA, where attribute ; | if , output attribute ; | end for | Step 4. for ; do | calculate correlation coefficient for attribute and by Algorithm 2, where ; | if then | flag = ; | go to Step 3; | end if | if red = then | go to Step 5; | end for | Step 5. Return red. |
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