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updated 25 days ago

Baysian,KNN,3Layer Neural Network Classifier, KMeans Clustering Examples by JaeJun Lee

JaeJun Lee

Baysian Classifier, KNN Classifier, 3Layer Neural Network Classifier, KMeans Clustering (baysian classifier, knn classifier, 3layer neural network...)

BaysianClassifier(priors, mean_vectors, cov_matrices, data )

KNNClassifier(trainingData, classID, K, data )

KmeansClustering( unlabeledData, K , showProgress)

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updated 1 year ago

Commodities Trading with MATLAB by Anshuman Mishra

Anshuman Mishra

Demos from the 'Commodities Trading with MATLAB' webinar - July 25, 2013. (algorithmic trading, automated trading, trading)

Commodities Trading with MATLAB - Backtesting with varyin...

Commodities Trading with MATLAB - Catch-up strategy acros...

Commodities Trading with MATLAB - Cross Sectional Momentum

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updated almost 3 years ago

ICAAM - Inverse compositional Active Appearance Models by Luca Vezzaro

Luca Vezzaro

An implementation of inverse-compositional Active Appearance Models capable of real-time performance (active appearance mod..., image processing defo...)

annotate(image_path, template_path, varargin)

app_pca(data, var)

asf2annotations(directory)

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updated 1 month ago

labelpoints by Adam Danz

Adam Danz

Automatically label points in your plot given x and y values & a string of labels + Outliers option. (labeling, data labels, text)

labelpoints

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updated 5 years ago

Mann-Whitney-Wilcoxon test by Giuseppe Cardillo

Giuseppe Cardillo

Mann-Whitney-Wilcoxon non parametric test for two unpaired groups. (statistics, non parametric test, mann whitney wilcoxon)

STATS=mwwtest(x1,x2)

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updated 4 days ago

Mass Univariate ERP Toolbox by David Groppe

David Groppe

Functions for performing and visualizing mass univariate analyses of event-related potentials. (multiple comparisons, tmax, toolbox)

gui_erp.m

save_matmk.m

GNDs2GRP(gui_infiles_or_tmplt,varargin)

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updated 3 months ago

LEACH (Low Energy Adaptive Clustering Hierarchy protocol) by Mohammad Hossein Homaei

Mohammad Hossein Homaei

A Famous Clustering Routing Protocol in Wireless Sensor Networks (leach, wsn, clustering)

clusterOptimum(netArch, nodeArch, dBS)

createfigure(X1, Y1, Y2, Y3)

dissEnergyCH(clusterModel, roundArch)

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updated almost 4 years ago

LDA (Linear Discriminant Analysis) by Alaa Tharwat

Alaa Tharwat

This code used to learn and explain the code of LDA to apply this code in many applications. (lda)

LDA_example.m

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updated 7 months ago

TSK Forecasting by Dmitrii Levin

Dmitrii Levin

A fuzzy neural network for forecasting time series (fuzzy logic, neural networks, time series)

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updated 3 years ago

Credit Risk Modeling with MATLAB by Ameya Deoras

Ameya Deoras

These are the supporting MATLAB files for the MathWorks webinar of the same name. (credit risk, transition matrices, var)

...

Credit_Rating(newData)

GetMigrationFtsCell(id,date,numRating)

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updated 5 years ago

Data Analysis with MATLAB for Excel Users by Michael Agostini

Michael Agostini

Materials for public seminar of the same name (slides and demos) (external interface, excel com activex bui..., photovoltaic)

Energy Forecasting

checkmotor(rpm, motordata)

createfigure(x1, y1, y2)

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updated 9 months ago

Detection, Estimation, and Modulation Theory Part I, 2Ed (Van Trees, Bell, Tian) Solutions & Figures by Kristine Bell

Kristine Bell

Chapters 2-5 Solution and Figure Files (detection, estimation, filtering)

TwoComplexExponentials2DMax(x,L)

[omega1_hat,omega2_hat]=TwoComplexExponentialsAP(x,L)

[omega1_hat,omega2_hat]=TwoComplexExponentialsEM(x,L)

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updated 3 years ago

quantreg.m - quantile regression by Aslak Grinsted

Aslak Grinsted

Quantile regression with bootstrapping confidence intervals (statistics, quantile, median)

[p,stats]=quantreg(x,y,tau,order,Nboot);

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updated 2 years ago

EM algorithm for Gaussian mixture model with background noise by Andrew

Andrew

Standard EM algorithm to fit a GMM with the (optional) consideration of background noise. (gmm, em, clustering)

GM_EM(X,k,bn_noise,reps,max_iters,tol)

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updated 21 days ago

Signal Dependent Noise Level Estimation by xinhao liu

xinhao liu

This code will estimate the three parameters of signal dependent noise model. (signal dependent nois..., noise variance, noise estimation)

GSGNoiseModel(sigw, sigu, gamma,X)

SGDNoiseLevel(img,patchsize,conf,itr)

addSGDNoise(X, sigw, sigu, gamma )

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updated 2 months ago

Evolution Strategies (ES) by Gilberto A. Ortiz

Gilberto A. Ortiz

Algorithm that implements 'Evolution Strategies' (ES) ('mu-lambda' and 'mu+lambda' variants). (evolution strategies, optimization, genetic algorithms)

evolution_strategy(f, mu, lambda, gen, sel, rec_obj, rec_...

mutation(n,lambda,xr,sigmar,alphar,limits)

recombination(type_obj,type_str,n,mu,lambda,xi,sigma,alpha)

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updated 2 years ago

Naive Bayes Classifier by Indraneel Biswas

Indraneel Biswas

Script for Naive Bayes Classifier in Matlab 2008a (confusionmat, machine learning, bayes naive classifie...)

confMat=myconfusionmat(v,pv)

NaiveBayesClassifier.m

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updated 4 months ago

Natural Gas Storage Valuation by Ameya Deoras

Ameya Deoras

Demos and files from the webinar (energy trading, energy risk, commodities)

Import Analyze Natural Gas Futures Options Historical P...

Natural Gas Storage Valuation: 2. Intrinsic Spread-Optio...

Natural Gas Storage Valuation: 3. Model Calibration and V...

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updated 5 years ago

Adaptive Affinity Propagation clustering by Kaijun Wang

Kaijun Wang

advantage of speed & performance appears under large number of clusters & large dataset (statistics, probability, affinity propagation)

...

[idx,netsim,i,unconverged,dpsim,expref]=apcluster(s,p,var...

ind2cluster(labels)

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updated 8 years ago

Laplacian random number generator by Elvis Chen

Elvis Chen

Generate i.i.d. random number drawn from laplacian distribution with specified parameter (statistics, probability, laplacian random numb...)

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updated almost 2 years ago

COMPLETE HIGUCHI FRACTAL DIMENSION ALGORITHM by Salai Selvam V

Salai Selvam V

MATLAB code for Higuchi Fractal Dimension (higuchi fractal dimen..., chaos, nonlinear dynamics)

[varargout]=wsc(N,lamda,M,H)

xhfd=hfd(x,kmax)

try.m

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updated 3 years ago

Electricity Load Forecasting for the Australian Market Case Study by David Willingham

David Willingham

This is a case study of forecasting short-term electricity loads for the Australian market. (artificial intelligen...)

Electricity Load Forecasting

Electricity Load Forecasting - Australia

Electricity Price Forecasting

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updated 2 years ago

Surrogate Model Optimization Toolbox by Julie

Julie

Surrogate model optimization algorithm for computationally expensive global optimization problems (global optimization, surrogate model, derivativefree)

BumpinessMinSampling(Data, maxeval, Surrogate, lambda, ga...

CandValue=PredictFunctionValues(Data,Surrogate,CandPoint,...

CandidatePointSampling(Data,maxeval,Surrogate,lambda,gamm...

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updated 5 years ago

Mann-Kendall Test by Simone Fatichi

Simone Fatichi

Mann-Kendall non-parametric trend test. (statistics, mann kendall, mannkendall)

Mann_Kendall.m

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updated 2 years ago

Decision Trees and Predictive Models with cross-validation and ROC analysis plot by Andrea Padoan

Andrea Padoan

This code implements a classification tree and plots the ROC curves for each target class (data mining, statistics, decision tree)

BestTree (t, X, y, nsamples)

CalculateFeaturesImportance.m

CalculateOutcomeGroups (y)

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updated 1 month ago

Classification Learner by MathWorks Classification Learner Team

Prototype app being developed by MathWorks to train classifiers using supervised machine learning (app, apps, gui)

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updated 8 days ago

Sparse Coding Time Series Prediction by Mohamed Waleed Fakhr

Mohamed Waleed Fakhr

Time series prediiction using L1 based sparse coding applied to 16 time series data sets (sparse coding predict..., sparse coding, time series predictio...)

pathdef

SparseCodingPredictionV1.m

LSSVMPrediction2.m

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updated 1 month ago

Tidal fitting toolbox by Aslak Grinsted

Aslak Grinsted

fit tidal components to an observed series of sea level and use them for prediction (madden julian, toolbox, tidal model)

tidalfit_demo

parseArgs(args,ArgStruct,varargin)

tidalfit(data,varargin)

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updated 21 days ago

Synthetic Bright-Field Microscopy Image Generator by Patrik Malm

Patrik Malm

This is a synthetic image generation tool that can create realistic Pap-smear images (simulation, procedural, synthetic)

VoronoiLimit(x,y,crs)

calculate_boundary(bimage)

clothsim(target_shape,cloth_shape,max_iter)

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updated 3 years ago

Two-way repeated measures ANOVA by Aaron Schurger

Aaron Schurger

Two-way repeated measures ANOVA, for designs with two within-subjects variables. (statistics, probability, repeatedmeasures)

rm_anova2(Y,S,F1,F2,FACTNAMES)

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updated 3 years ago

Data Driven Fitting with MATLAB by Richard Willey

Richard Willey

Demostration code and data sets for the "Data Driven Fitting with MATLAB" webinar. (localized regressionl..., localized regression, loess)

fitit(X,Y,varargin)

FititDemo.m

Load_Forecasting.m

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updated 1 month ago

Nonstationary Extreme Value Analysis (NEVA) Toolbox by HRL

HRL

Nonstationary Extreme Value Analysis (NEVA) (statistics, climate, extreme value analysi...)

GEVQQcheck(DATA,nsite,Now)

GPQQcheck(DATA,nsite)

Mann_Kendall(V,alpha)

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updated 15 days ago

GIBBON: The Geometry and Image-Based Bioengineering add-On for MATLAB by Kevin Moerman

Kevin Moerman

GIBBON: The Geometry and Image-Based Bioengineering add-On for MATLAB (bioengineering, finite element, meshing)

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updated 1 month ago

FuzzyClusterToolBox by faruto

faruto

FuzzyClusterToolBox (fuzzy, fcm, cluster)

C_SelfAdapt_fcm_test

HC_fcm_test

fcm_test

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updated 5 years ago

Using MATLAB to Develop Macroeconomic Models by Bob Taylor

Bob Taylor

Analyze a stylized version of the Smets-Wouters model for the United States economy. (econometrics, macroeconomics, time series analysis)

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updated 2 months ago

Multi-objective optimization using Evolution Strategies (ES) as Evolutionary Algorithm (EA) by Gilberto A. Ortiz

Gilberto A. Ortiz

This function uses ES instead of GA as EA in the NSGA-II procedure for multi-objective optimization. (genetic algorithms, evolution strategies, es)

ENSES(f, mu, lambda, gen, rec_obj, rec_str, u, nf, n, lim...

domination_matrix(n_viol, sum_viol, phi, m, n_f)

mutation_es(n,lambda,xr,sigmar,alphar,limits)

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updated 6 days ago

Image Processing and Computer Vision : How MATLAB is helpful for various applications. by Masa Otobe

Masa Otobe

Script used in MATLAB EXPO 2014 in Japan on Oct. 29, 2014 (image processing, demo, computer vision)

E0_myGear_webCam_func.m

E1_myGear_J.m

E2_myBoltSet23.m

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updated 1 month ago

A Comparison of Evolutionary Computation Techniques for IIR Model Identification by Erik

Erik

Evolutionary Computation Techniques are compared considering some IIR identification problems (pso, genetic algorithm, filter design)

ABC.m

simulasist3.m

apso_1st_order_filter.m

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updated 2 years ago

Historical Value At Risk by David Willingham

David Willingham

Calculates Historical Value at Risk for a given portfolio of returns (value at risk, portfolio, var)

computeHistoricalVaR(returns,confidence_level,plot_flag)

examplehistvar.m

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updated 9 years ago

Local Normalization by Guanglei Xiong

Guanglei Xiong

Reduce the difference of the illumination. (enhancement, local normalization g..., image processing)

ln=localnormalize(IM,sigma1,sigma2)

testlocalnormalize.m

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updated 7 years ago

Copula generation and estimation by Robert Kopocinski

Robert Kopocinski

Copula functions written for Master Thesis. (statistics, probability, copula)

[p mlv]=cmlstat(family,x)

bernsteincop(x,g)

claytoncml(alpha,u,v)

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updated 2 years ago

Monte Carlo Simulation with Simulink by Ryan G

Ryan G

Select blocks to vary parameters for Monte Carlo Simulation. (aerospace, demo, gui)

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updated 4 years ago

clusterImg by Brett Shoelson

Brett Shoelson

Interactively segment RGB image into n user-defined clusters. (morphology, segmentation, kmeans cluster color ...)

clusterImg(imgin,Clusters,varargin)

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updated 2 months ago

Uncertainty and sensitivity analysis of Simulink models using brute-force method by Carlos M. Velez S.

Carlos M. Velez S.

Global sensitivity analysis using the brute-force variance-based method and Monte Carlo simulation (monte carlo, sensitivity analysis, simulink)

sens_variance_bruteforce.m

sens_plot_total_sensitivity.m

sens_plot_scatter_param.m

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updated 4 months ago

Texture Classification by Vahid K. Alilou

Vahid K. Alilou

The segmentation-based fractal texture analysis is used to classify different image textures. (image processing)

findBorders( I )

hausDim( I )

makedb(style, level)

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updated 2 years ago

Mining Economics with MATLAB by David Willingham

David Willingham

Simulates a distribution of Net Present Values of a mine via a forecasting model for Iron Ore Prices (commodities, mining, economics)

FitNPV(NPV)

cashflow(data,NTrials,SYear)

discounting(data,capex,NTrials,sales,discFactorY,salesb)

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updated 4 months ago

Mixing (MX) Oceanographic Toolbox for EM-APEX float data by Amelie Meyer

Amelie Meyer

Mixing (MX) Oceanographic Toolbox for EM-APEX* float data applying shear-strain parameterization (oceanography, mixing, finescale)

[]=f_plot_T_all(fltlist,run,fig)

[]=mx_grid_initialdata(U,V)

[nn,delnn]=nsq_modbs(s,t,p,dz,lat,varargin)

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updated 8 years ago

Spearman Rank Correlation by Alexandros Leontitsis

Alexandros Leontitsis

It calculates the Spearman rank correlation coefficient. (statistics, probability, spearman)

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updated almost 4 years ago

PCA (Principal Component Analysis) by Alaa Tharwat

Alaa Tharwat

This code used to learn and explain the code of PCA to apply this code in many applications. (pca, good material)

PCA_Tutorial.m

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updated 1 year ago

Natural Gas Storage Optimization & Intrinsic Valuation by Ameya Deoras

Ameya Deoras

Calculate optimal injection/withdrawal schedules for gas storage facility (energy trading)

Intrinsic Storage Optimization

Natural Gas Storage Optimization & Intrinsic Valuation

createConstraints(facility, N, daysInMonth, startVol, end...

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