PURPOSE
s = unique(a,dim) : set unique iData objects axes with no repetitions
SYNOPSIS
function s = unique(a,dim,mode)
DESCRIPTION
CROSS-REFERENCE INFORMATION
This function calls:
- copyobj b = copyobj(s) : makes a copy of iData object
- end b = end(s,index,n) : end value for iData objects
- get [...] = get(s, 'PropertyName', ...) : get iData object properties
- getaxis [val, lab] = getaxis(s, AxisIndex) : get iData axis value and label
- iData d = iData(a, ...) : iData class object constructor
- ndims d = ndims(s) : get the dimensionality of iData object
- reshape c = reshape(a) : reshape the object Signal
- setalias [s,...] = setalias(s, AliasName, AliasLink, {AliasLabel}) : set iData aliases
- setaxis s = setaxis(s, rank, alias, value) : set iData axes
- size size(s) : get iData object size (number of elements)
- subsref b = subsref(a,s) : iData indexed references
- unique s = unique(a,dim) : set unique iData objects axes with no repetitions
- zeros s = zeros(s,N,M,P,...) : initialize an iData array
This function is called by:
- edit edit(s) : edit iData object Signal/Monitor
- fft c = fft(a) : computes the Discrete Fourier transform of iData objects
- fileattrib [attribute, link] = fileattrib(s, field) : return a field Attribute
- findfield [match, types, nelements]=findfield(iData, field, option) : look for iData fields
- findobj [s,...]=findobj(s,...) : look for existing iData objects
- jacobian [b, j] = jacobian(a, new_axes, 'new_axes_labels'...) : computes the gradient (derivative) of iData objects
- kmeans [b,c] = kmeans(X, k) : k-means clustering of iData object
- load d = load(s, file, loader, ...): iData file loader
- rotate s = rotate(a, theta) : computes the rotation of iData objects around the origin
- slice slice(s) : Plot a 3D object with slice rendering
- subsindex d = subsindex(s) : subscript index for iData objects
- unique s = unique(a,dim) : set unique iData objects axes with no repetitions
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