2013-05-07 13:57:44 -0600 | commented answer | k- nearest neighbors with multivariate neighbors all fetures are just ratios and kept in double. |
2013-05-07 08:27:44 -0600 | commented answer | k- nearest neighbors with multivariate neighbors Ok, then answer me somehow. Is it possible to perform this task with knn algorithm? Any explonations? I need an example or exlonation, how a sample with several different variables must be given to knn. |
2013-05-05 18:49:56 -0600 | received badge | ● Student (source) |
2013-05-05 14:04:26 -0600 | asked a question | k- nearest neighbors with multivariate neighbors I have a sample with several variables. I want to reconize leaves. So i've collected needed parameters(features), such as ratio of width and height, ratio of bounded rectangle area and a leaf area etc. All this data must be given to knn algorithm for training and test. Can anybody write a simple example? |