Code covered by the BSD License  

Highlights from
GUI for Multivariate Image Analysis of 4-dimensional data

• four_way_mva(varargin) % This GUI includes is a set of multivariate image analysis methods for analyzing image data sets acquired at two variables.
• profiles(varargin) GUI for plotting profiles for image arrays
• progressbar(action, varargin) PROGRESSBAR Display, modify, and/or update a progress indicator
• [Classes,Centres,FinalDistanc... DCKMEANS Performs k-means clustering
• [M,mask]=profile_z(images);
• [c,t]=trilin(c,ne,ishape)
• [conc]=closure(conc,iclos,scl... function [conc]=closure(conc,iclos,sclos1,iclos1,tclos1,tclos2,sclos2,iclos2,vclos1,vclos2)
• [conc]=unimod(conc,rmod,cmod) 1) look for the maximum
• [purspec,purint,purity_spec]=... function [purspec,purint,purity_spec]=simplisma(data,varlist,offset,n,data2);
• [scores, load1, load2]=mcr_th... function [scores, loads1, loads2]=mcr_three_modes_pls(data,Ncomp);
• [sn]=normv2(s) normalitzacio s=s/sqrt(sum(si)2))
• [u,s,v,x,sigma]=pcarep(xi,nf)
• als_ka.m
• dcFuzzy(X,c,m,InitCentres) DCFUZZY Performs fuzzy c-means clustering
• fnnls(XtX,Xty,tol) FNNLS Non-negative least-squares.
• imgpca(mwa,scaling,nocomp) IMGPCA Principal Components Analysis of Multivariate Images.
• immerge(bg, fg, coef)
• montage(varargin) MONTAGE Display multiple image frames as rectangular montage.
• uigetfiles.m
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