Releases: HGGM-LIM/jclustering
Releases · HGGM-LIM/jclustering
Version 1.4.4
Version 1.4.3
- Fixed some k-means parser errors.
- K-means++ deterministic (det++) now works using a pivoting approach.
Version 1.4.2
Euclidean distance (PNorm metric with p = 2.0, which is the default value) is now much faster.
Despite the note that this commit is the same as 1.4.1, this is the correct version. I forgot to push the repository before creating this release.
Version 1.4.1
- Changed 'det++' initialization.
- Added weighing factor to LeaderFollower technique.
Version 1.4.0
- Correlation has been changed to PearsonsCorrelation.
- SpearmansCorrelation added as metric.
- LeaderFollower may use the following metrics: Cosine, PearsonsCorrelation and SpearmansCorrelation. Its usage has been simplified.
Version 1.3.5
- Added cosine metric.
- The cluster object now stores the mean spatial centroid.
- The deterministic k-means++ initialization allows the user to set the first centroid.
- Modified Leader-Follower. It now sorts the voxels by peak time and amplitude before inspecting them. Also, returns the voxel with the smallest Euclidean distance to the centroid.
Version 1.3.4
- Changed LeaderFollower behavior.
Version 1.3.3
- Fixed the iterator. Again. Once and for all.
- Fixed a bug in the RealMatrix2IJ method that caused it to shift slices.
Version 1.3.2
- A new bug was introduced in the last update -- first voxel was always returned by the image iterator. Fixed.
Version 1.3.1
- Implements PlugIn interface instead of PlugInFilter.
- Solved bug in iterator (not returning first voxel) that caused PCA / SVD /ICA to crash on unmasked images.