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updated 21 hours ago

Bayesian robust mixture model by Gabriel Agamennoni

MatLab object for clustering real-valued data with noise, outliers and missing values (bayesian models, clustering, robust clustering)

brmmtest()

(ConstructOnLoad) brmm %#ok

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updated 10 months ago

Unsupervised Learning with Growing Neural Gas (GNG) Neural Network by Ilias Konsoulas

Learns data clusters and their topology in n-dimensional space by using the Growing Neural Gas net. (growing neural gas, unsupervised learning, vector quantization)

addNewNeuron(nodes,edges,ages,error,alpha)

edgeManagement.m

findTwoNearest(Input,nodes)

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updated 1 year ago

Self-Organizing Map - Simple demonstration by George Azzopardi

A simple and neat implementation of a self-organizing map algorithm (selforganizing map, som, neural networks)

SOMSimple(nfeatures, ndim, nepochs, ntrainingvectors, eta...

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updated 2 years ago

kmeans clustering by Mo Chen

Fully vectorized kmeans algorithm. Fast yet simple (10 lines) (kmeans, clustering, vector quantization)

litekmeans(X, k)

spread(X, label)

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updated 8 years ago

Vector Quantization - K-Means by Esfandiar Zavarehei

A simple algorithm for training codebooks for vector quantizationusing K-Means algorithm. (dsp, vector quantization, kmeans)

[m, p, DistHist]=vqsplit(X,L)

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updated 8 years ago

IMAGE COMPRESSION USING LBG ALGORITHM by AARATHY M

Vector Quantization (VQ), a well-known compression technique, which has been widely used ... (application, lbg algorithm, vector quantization)

[u, w, nw]=findweight(diff,win,c,fno,alpha,beta,gamma)

[y]=testlvq1(x)

y=lvqdecode(x,v)

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