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| mahal | | mahal | ||
| Mahalanobis' D-square distance. | | Mahalanobis' D-square distance. | ||
|- | |||
| mhsample | |||
| Draws NSAMPLES samples from a target stationary distribution PDF using Metropolis-Hastings algorithm. | |||
|- | |- | ||
| optimalleaforder | | optimalleaforder | ||
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| pdist2 | | pdist2 | ||
| Compute pairwise distance between two sets of vectors. | | Compute pairwise distance between two sets of vectors. | ||
|- | |||
| slicesample | |||
| Draws NSAMPLES samples from a target stationary distribution PDF using slice sampling of Radford M. Neal. | |||
|- | |- | ||
| squareform | | squareform | ||
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* <code>fullfact</code> | * <code>fullfact</code> | ||
* <code>ff2n</code> | * <code>ff2n</code> | ||
* <code>sigma_pts</code> | |||
* <code>x2fx</code> | * <code>x2fx</code> | ||
</div> | </div> | ||
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The following table lists the available functions. | The following table lists the available functions. | ||
{| class="wikitable" | |||
! Function | |||
! Description | |||
|- | |||
| hmmestimate | |||
| Estimation of a hidden Markov model for a given sequence. | |||
|- | |||
| hmmgenerate | |||
| Output sequence and hidden states of a hidden Markov model. | |||
|- | |||
| hmmviterbi | |||
| Viterbi path of a hidden Markov model. | |||
|- | |||
| svmpredict | |||
| Perform a K-means clustering of an NxD matrix. | |||
|- | |||
| svmtrain | |||
| Produce a hierarchical clustering dendrogram. | |||
|} | |||
=== TODO list === | === TODO list === | ||
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The following table lists the available functions for plotting data. | The following table lists the available functions for plotting data. | ||
== Regression == | |||
=== Available functions === | |||
The following table lists the available functions for regression analysis. | |||
== Wrappers == | == Wrappers == |
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