ManifoldAlignment

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ManifoldAlignment

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Manifold Alignment code for Matlab

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# Manifold Alignment

We have two slightly different versions of alignment approaches.
The input to represent the weight matrix for each domain can be given in two forms:
 1. a sparse matrix.
 2. an array modeling the k-nearest neighbor for each instance. The files for this are in Alignment/knn/.

## Folder: Alignment

### Affine Matching

* AffineMatching.m

### Procrustes Alignment

* Procrustes.m

### Canonical Correlation Analysis (CCA)

* CCATwo.m
 * CCAThree.m

### Feature-level Manifold Projections

* wmapGeneralThree.m
 * wmapGeneralTwo.m

### Instance-level Manifold Projections

* wmapGeneralThreeInstance.m
 * wmapGeneralTwoInstance.m

### Unsupervised Alignment

The code is the same as feature-level manifold projections.
The only difference is how to create the correspondence matrix.

* generateWeight3.m, used to generate weight matrix, calls:
   * computeOptimalMatch.m
   * decompose3.m

## Folder: Utility

* cmpEmbedding.m - compares different embedding results. Examples are represented as columns.
 * knnsearch.m - k-nearest neighbor search
 * LaplacianEigenmaps.m
 * LPP.m - Locality Preserving Projections
 * Showtopics.m
 * createAllConnectedGraph.m
 * createKnnGraph.m
 * L2_distance.m - All pairs Euclidean distance

ManifoldAlignment

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