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Commits on May 26, 2017
  1. Merge branch 'release/1.4.0'

    exhuma committed May 26, 2017
  2. Changelog updated.

    exhuma committed May 26, 2017
  3. Version bumped to 1.4.0

    exhuma committed May 26, 2017
Commits on May 23, 2017
Commits on Apr 5, 2016
  1. Merge branch 'fix/1.3.3'

    exhuma committed Apr 5, 2016
  2. Another MANIFEST fix.

    exhuma committed Apr 5, 2016
  3. Version bumped to 1.3.3

    exhuma committed Apr 5, 2016
  4. Merge branch 'fix/1.3.2'

    exhuma committed Apr 5, 2016
  5. Version bumped to 1.3.2

    exhuma committed Apr 5, 2016
  6. Added version.txt to MANIFEST

    exhuma committed Apr 5, 2016
    Fixes #21
Commits on Oct 16, 2015
  1. Marked package as universal.

    exhuma committed Oct 16, 2015
Commits on Oct 15, 2015
  1. Merge branch 'github-issue-20'

    exhuma committed Oct 15, 2015
  2. If items are iterable, clustering breaks.

    exhuma committed Oct 15, 2015
    This commit will package tuples into lists before creating the matrix.
    
    Fixes #20
  3. Fixed a minor typo.

    exhuma committed Oct 15, 2015
  4. Version bumped to 1.3.1

    exhuma committed Oct 15, 2015
Commits on Mar 26, 2015
  1. Merge branch 'release/1.3.0'

    exhuma committed Mar 26, 2015
    Conflicts:
    	MANIFEST.in
  2. Merge remote-tracking branch 'origin/develop' into develop

    exhuma committed Mar 26, 2015
    Conflicts:
    	cluster/test/test_hierarchical.py
    	pytest.ini
  3. Changelog added.

    exhuma committed Mar 26, 2015
  4. Added a __version__ member.

    exhuma committed Mar 26, 2015
  5. Documentation updated.

    exhuma committed Mar 26, 2015
  6. Added the option to pass a progress callback.

    exhuma committed Mar 26, 2015
    Only supported for hierarchical clustering at the moment.
Commits on Mar 24, 2015
  1. Removed unused import.

    exhuma committed Mar 24, 2015
  2. Linkage funcs extracted and cached.

    exhuma committed Mar 24, 2015
    This only works for input data with hashable values for now. This gives
    a tremendous speed boost at the cost of memory. The memory cost can
    however be improved by removing "clusters inside other clusters".