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updated 8 days 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 7 months 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 1 year ago

k-means clustering algorithm by Craig

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

kmean(img,means)

Example.m

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updated 1 year ago

Spike Timing-Dependent Construction Simulation by Toby Lightheart

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

stdc_sim.m

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