Predictive and Specialized Modeling • K Nearest Neighbors
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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 Platform
Contents 
Overview of the K Nearest Neighbors Platform
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
Model Fit Options

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Help created on 10/11/2018