Cluster Analysis and Classification Functions: Difference between revisions
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:[[plsdthres]] - Bayesian threshold determination for PLS Discriminate Analysis. | :[[plsdthres]] - Bayesian threshold determination for PLS Discriminate Analysis. | ||
:[[simca]] - Soft Independent Method of Class Analogy. | :[[simca]] - Soft Independent Method of Class Analogy. | ||
:[[svmda]] - SVM Support Vector Machine for classification. | |||
(Sub topic of [[Categorical_Index|Categorical_Index]]) | (Sub topic of [[Categorical_Index|Categorical_Index]]) | ||
Revision as of 10:28, 1 September 2010
- class2logical - Create a PLSDA logical block from class assignments.
- cluster - KNN and K-means cluster analysis with dendrograms.
- discrimprob - Discriminate probabilities for continuous predicted values.
- knn - K-nearest neighbor classifier.
- plsda - Partial least squares discriminant analysis.
- plsdaroc - Calculate and display ROC curves for PLSDA model.
- plsdthres - Bayesian threshold determination for PLS Discriminate Analysis.
- simca - Soft Independent Method of Class Analogy.
- svmda - SVM Support Vector Machine for classification.
(Sub topic of Categorical_Index)