Gaussian kernel optimization: complex problem and a simple solution

 
 

Click http://www.csbio.sjtu.edu.cn/bioinf/GFO/ for an update version of this online calculator!


Gaussian kernel is a popular kernel function often used in various statistical pattern recognition researches and their applications to measure the similarity between two samples in a dataset. However, the scalar parameter belta (¦Â) in Gaussian kernel function as shown in the following equation significantly affects the final results. This online data-driven tool is used to calculate the optimal belta (¦Â) parameter based on the given dataset.

When using this online service, the user is required to submit their dataset with a file name in.txt. Following is an example, where the dataset contains 10 samples and each sample has 4 dimensions.

Example£º

 

Please upload your dataset (Example): 


 
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