K Nearest Neighbors
Predict Response Values Using Nearby Observations
The K Nearest Neighbors platform is available only in JMP Pro.
The K Nearest Neighbors platform predicts a response value for a given observation using the responses of the observations in that observation’s local neighborhood. It can be used for classification of a categorical response as well as for prediction of a continuous response.
K Nearest Neighbors is a nonparametric method that is based on the distance to neighboring observations. Because of this fact, K Nearest Neighbors is able to classify observations using irregular predictor value boundaries. However, because the algorithm is sensitive to irrelevant predictors, the selection of predictors can impact your results.
K Nearest Neighbors has been used successfully in many applications, such as classifying satellite imagery and electrocardiogram (EKG) patterns.
Figure 7.1 Example of the K Nearest Neighbors PlatformÂ
