I have a data set listing attributes of clients - a combination of ordinal, categorical and interval data. I am also given the 5 nearest neighbors within the data set for and have to essentially reverse engineer an algorithm for the nearest neighbors.Given the complexity of the data I'm quite lost as to how I can work out and then obtain parameters of a distance function. I apologize in advance for the vagueness of the question but I'm not even sure where to begin.
Develop classification model, given the k nearest neighbors
classification