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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 10 months ago

Unsupervised Learning with Dynamic Cell Structures (DCS) Neural Network by Ilias Konsoulas

Learns data clusters and their topology in n-dimensional space using the DCS-GCS neural network. (dynamic cell structur..., topology representing..., clustering)

addNewNeuron(nodes,error,C)

competitiveHebb1(C,bmu,secbmu,Theta,alpha)

competitiveHebb2(C,bmu,secbmu,y,Theta,alpha)

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updated 12 months ago

K Means Algorithm with the application to image compression by Jason Rebello

This program uses the K means clustering algorithm to group the pixels in an image (k means, clustering, unsupervised learning)

computeCost(X, idx, centroids, K)

computeNewCentroids(X, idx, K)

displayImage(I, XCompressed, K)

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updated 1 year ago

Expectation Maximization 1D Tracking Demo by Andrew Stachyra

Demos use of expectation maximization algorithm to solve simplified one dimensional tracking problem (expectation maximizat..., unsupervised learning, machine learning)

cov2ellps(ctrd, cov, varargin)

lineexpmax(time, data, measvar, klim,...

polynomfit(x,y,yerr,ncoeff)

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updated 2 years ago

k-means clustering algorithm by Craig

Performs one step of the k-means clustering algorithm (kmeans, k means, average)

kmean(img,means)

Example.m

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updated 2 years ago

Spike Timing-Dependent Construction Simulation by Toby Lightheart

Simulation of an STDP-based constructive algorithm for spiking neural networks (simulation, modeling, artificial neural net...)

stdc_sim.m

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