Input: Datasets Output: Optimized Hot Region \(RCNOIK\_Best\_CH_i\) | |
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Step 1: Feature selection for residues in datasets; | |
Step 2: Calculate the sum of distance squares of residues and the average silhouette value to obtain the optimal k value; | |
Step 3: K-means is used to obtain the hot regions RCNOIK_RH1; | |
Step 4: \(RCNOIK\_RH1\) is optimized by PPRA to obtain hot region \(RCNOIK\_RH2\); | |
Step 5: \(RCNOIK\_RH2\) is optimized according the RCNO strategy; | |
Step 6: Input the optimized hot regions \(RCNOIK\_Best\_CH_i\). |