Version 1.3.0

• Removed all methods and variables related to noisy TAC skipping.

Version 1.2.6

• Fixed a bug in k-means++ initialization distance computation.

Version 1.2.5

• SVD did not work if the soon-to-be-deprecated (hopefully) skip_noisy was not set to true.
• The logic for not returning masked voxels did not work as expected. Fixed.
• ImagePlusHypIterator rewritten (nasty bug showed up when correct pixel masking was implemented).

Version 1.2.4

• ImagePlusHypIterator does not return masked voxels
• Added isMasked(Voxel v) and isMasked(double [] tac) to MathUtils
• K-means initialization algorithms do not choose masked voxels
• Skip noisy voxels is now set to false (might be deprecated in the future).
• LeaderFollower number of clusters is 50 by default (from 1000).
• ImagePlusHyp is now just a wrapper for ImagePlus, but does not extend it. This avoids duplicating the memory used by the analyzed image.

Version 1.2.3

• Added "About" panel.
• Included deterministic k-means++ initialization.
• Fixed Leader-Follower bug.
• Added RMSD metric.

Version 1.2.2

• PCA can now be computed on the correlation matrix instead of the covariance.
• Additional images from PCA, ICA and SVD use a floating point format.

Version 1.2.1

• Fixed bug: number of components was ignored in ICA.

Version 1.2.0

• ClusteringTechniques can now return a formatted string array that will be saved as additional information.
• Added ICA implementation thanks to the fastICA library by Michael Lambertz.
• Added SVD implementation.

Version 1.1.9

• Added an option for displaying the PCA image in the PCA technique.
• PCA computation now uses SVD on the covariance matrix instead of obtaining
  the eigenvectors manually.

Version 1.1.8

• Fixed yet another major bug in LeaderFollower implementation.
• cluster image now has correct voxel size information.