Contents

PURPOSE ^

CLASSIFY

SYNOPSIS ^

This is a script file.

DESCRIPTION ^

 CLASSIFY
 See also

 Clustering:
   democluster         - Clustering demo.
   demogendata         - Generate data drawn form a mixture of Gaussians.
   kmeans2             - Very fast version of kmeans clustering.
   meanshift           - meanshift clustering algorithm.
   meanshiftim         - Applies the meanshift algorithm to a joint spatial/range image.
   meanshiftim_explore - Visualization to help choose sigmas for meanshiftim.

 Calculating distances efficiently:
   dist_L1             - Calculates the L1 Distance between vectors (ie the City-Block distance).
   dist_chisquared     - Calculates the Chi Squared Distance between vectors (usually histograms).
   dist_emd            - Calculates Earth Mover's Distance (EMD) between positive vectors.
   dist_euclidean      - Calculates the Euclidean distance between vectors [FAST].
   distmatrix_show     - Useful visualization of a distance matrix of clustered points.
   softmin             - Calculates the softmin of a vector.

 Principle components analysis:
   pca                 - principle components analysis (alternative to princomp).
   pca_apply           - Companion function to pca.
   pca_apply_large     - Wrapper for pca_apply that allows for application to large X.
   pca_randomvector    - Generate random vectors in PCA subspace.
   pca_visualize       - Visualization of quality of approximation of X given principle components.
   visualize_data      - Project high dim. data unto principle components (PCA) for visualization.

 Classification methods with a common interface:
   democlassify        - A demo used to test and demonstrate the usage of classifiers (clf_*)
   nfoldxval           - Runs n-fold cross validation with a given classifier.
   confmatrix          - Generates a confusion matrix according to true and predicted data labels.
   confmatrix_show     - Used to display a confusion matrix.
   clf_dectree         - Wrapper for treefit that makes decision trees compatible with nfoldxval.
   clf_dectree_fwd     - Apply the decision tree to data X.
   clf_dectree_train   - Train a decision tree classifier.
   clf_ecoc            - Wrapper for ecoc that makes ecoc compatible with nfoldxval.
   clf_ecoc_code       - Generates optimal ECOC codes when 3<=nclasses<=7.
   clf_knn             - Create a k nearest neighbor classifier.
   clf_knn_dist        - k-nearest neighbor classifier based on a distance matrix D.
   clf_knn_fwd         - Apply a k-nearest neighbor classifier to X.
   clf_knn_train       - Train a k nearest neighbor classifier (memorization).
   clf_lda             - Create a Linear Discriminant Analysis (LDA) classifier.
   clf_lda_fwd         - Apply the Linear Discriminant Analysis (LDA) classifier to data X.
   clf_lda_train       - Train a Linear Discriminant Analysis (LDA) classifier.
   clf_svm             - Wrapper for svm that makes svm compatible with nfoldxval.

CROSS-REFERENCE INFORMATION ^

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