1. A method comprising: electronically developing a kernel based supervised classifier; determining a kernel based supervised classifier; choosing the number of kernels to equal the number of dimensions in a data space plus one; electronically determining a non-binary affinity measure between two data points using said supervised classifier; and electronically providing a visualization of the relationships between data points using said non-binary affinity measure.
1. A method comprising: electronically developing a kernel based supervised classifier; determining a kernel based supervised classifier; choosing the number of kernels to equal the number of dimensions in a data space plus one; electronically determining a non-binary affinity measure between two data points using said supervised classifier; and electronically providing a visualization of the relationships between data points using said non-binary affinity measure. 6. The method of claim 1 including determining a nearest neighbor based supervised classifier.