nu-Anomica algorithm
One-class nu-Support Vector machine (SVMs) learning technique maps the 
input data into a much higher dimensional space and then uses a small 
portion of the training data (support vectors) to parametrize the 
decision surface that can linearly separate nu fraction of training 
points (labeled as anomalies) from …