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GMM-GMR-v2.0.zip
In statistics, a mixture model is a probabilistic model for density estimation using a mixture distribution. A mixture model can be regarded as a type of unsupervised learning or clustering. Mixture models should not be confused with models for ...
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mgd.rar
multivariating gaussian density
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psd23.rar
this file is used to find power spectral density of the sound file.
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kruskals.rar
Kruskal s algorithm implementation for generating minimum spanning tree.
Random network is generated. Then MST is generated using kruskals and then density gradient applied.
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SVDDD.zip
This is the program for the multi classification problem utiizing the incremental support vector domain density description method.
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MANIK.zip
... Features
• Data Path Width 32 bits, with Four stage pipeline.
• Mixed 16/32 bit instructions for code density
• Von Neumann Architecture (Data and Instruction in the same
address space).
• Sixteen, 32 bit General Purpose ...
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IP09_1.rar
... with two trajectories first we use the
solution in low speedy density function which is
general for this case, second we use the solution in
high speedy density function for the first time with
the use of the relativity speed in ...
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clusteringfinal.rar
Major clustering methods
Partitioning methods
Hierarchical methods
Density-based methods
Grid-based methods
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hi_2.rar
... of the signals. Hypotheses about the distribution of this or innogo parameter system, such as expectation, variance, probability density for a given level of significance accepted or refuted, in accordance with the results. The program implements two ...
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