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| | == Mapping is not Music == | | == Mapping is not Music == |
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| − | [[MnM]] is a set of Max/MSP externals based on [[FTM | FTMlib]] providing a unified framework for various techniques of classification, recognition and mapping for motion capture data, sound and music.
| + | {{:MnM Introduction}} |
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| − | Features currently implemented in MnM include:
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| − | * Hidden Markov Models
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| − | * Principal Components Analysis
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| − | * Singular Value Decomposition, LU and QR decompositions
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| − | * Non-negative Matrix Factorization and sparse decomposition
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| − | * multi-dimensionnal M to N mapping based on examples
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| − | * Multi-dimensioannal autocorrelation
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| − | * Matrix/Vector Statistics (min, max, mean, std, histogram, mahalanobis distance)
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| − | The MnM package is released within the [[Download | FTM distributions]].
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