JMP 14.0 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
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Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13 Online Documentation
JMP 12 Online Documentation
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 7/12/2018