Support for kernel feature analysis

[rieck]

Dimension reduction could be improved by implementing sparse kernel feature analysis, a technique closely related to kernel PCA but with considerably less run-time complexity. While a projection onto a component with kernel PCA requires computing n kernel values, for sparse kernel feature analysis only one kernel value is calculated.