Predictive and Specialized Modeling • K Nearest Neighbors
Previous
 • 
Next
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 with a categorical response for classification and with a continuous response for prediction.
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, the algorithm is sensitive to irrelevant predictors, so selection of predictors can be beneficial before implementing K Nearest Neighbors.
K Nearest Neighbors has been used successfully in many applications, such as classifying satellite imagery and EKG patterns.
Example of the K Nearest Neighbors Platform
Contents 
K Nearest Neighbors Platform Overview
Example of K Nearest Neighbors with Categorical Response
Example of K Nearest Neighbors with Continuous Response
Launch the K Nearest Neighbors Platform
The K Nearest Neighbors Report
Continuous Responses
Categorical Responses
K Nearest Neighbors Platform Options

Previous
 • 
Next
Help created on 9/19/2017