Our experiments showed more than once that the employment of kernels other than the Gaussian one can significantly improve the results in certain circumstances.

From our experiments we know that

• The Laplacian Kernel works well on some scaled/normalized data.
• The Exponential Kernel generally behaves the same of the Gaussian one, but in some situations makes the difference, as happened in the experiments with IRIS data (multivariate) or CLASSIC3 data (text documents in BOW model with TF-IDF encoding).

These results suggest to go deeper in the matter and explore other kernels that can be useful in clustering with SVC.