CGC - v0.8.0

What's Changed

• Easier configuration of k-means by @fnattino in https://github.com/phenology/cgc/pull/97

Full Changelog: https://github.com/phenology/cgc/compare/v0.7.0...v0.8.0

Scientific Software - Peer-reviewed - Python
Published by fnattino almost 3 years ago

CGC - v0.7.0

What's Changed

• remove an ISSN (in capital letters) by @hugoledoux in https://github.com/phenology/cgc/pull/87
• Joss paper by @fnattino in https://github.com/phenology/cgc/pull/88
• Update Python versions by @fnattino in https://github.com/phenology/cgc/pull/91
• Improve k-means by @fnattino in https://github.com/phenology/cgc/pull/92
• General fixes by @fnattino in https://github.com/phenology/cgc/pull/93
• Allow to JSON serialize array-like objects by @fnattino in https://github.com/phenology/cgc/pull/94

Full Changelog: https://github.com/phenology/cgc/compare/v0.6.2...v0.7.0

Scientific Software - Peer-reviewed - Python
Published by fnattino about 3 years ago

CGC - v0.6.2

Bug fix in tests, improvements in documentation, JOSS manuscript included (for detailed changes see CHANGELOG).

Scientific Software - Peer-reviewed - Python
Published by fnattino over 4 years ago

CGC - v0.6.1

Scientific Software - Peer-reviewed - Python
Published by fnattino over 4 years ago

CGC - v0.6.0

This release introduces few improvements in the co- and tri-clustering algorithms, as well as in the way in which refined-cluster averages are computed - full description is available in the CHANGELOG.

Scientific Software - Peer-reviewed - Python
Published by fnattino over 4 years ago

CGC - v0.5.0

This release introduces: * a k-means implementation for tri-clustering; * a utility function to calculate cluster-based averages for tri-clustering; * the best k value in k-means is now selected automatically using the Silhouette score.

Scientific Software - Peer-reviewed - Python
Published by fnattino over 4 years ago

CGC - v0.4.0

This release mainly includes: * a new tri-clustering algorithm (with both a Numpy- and a Dask-based implementation); * some utility functions to estimate the memory requirement of a co-clustering analysis and to calculate co-cluster averages.

For all changes, see CHANGELOG.rst.

Scientific Software - Peer-reviewed - Python
Published by fnattino almost 5 years ago

CGC - v0.3.0

Scientific Software - Peer-reviewed - Python
Published by fnattino about 5 years ago

CGC - v0.2.1

With this release we solve some dependency issues that made installation with pip fail

Scientific Software - Peer-reviewed - Python
Published by fnattino over 5 years ago

CGC - v0.2.0

This release mainly introduces: * some improvements in the Dask-based co-clustering implementation; * a low-memory version of the Numpy-based co-clustering implementation (with Numba acceleration).

For a more detailed list of changes, have a look at CHANGELOG.rst.

Scientific Software - Peer-reviewed - Python
Published by fnattino over 5 years ago

CGC - v0.1.1

This release includes a first version of the optimal k-value search for the k-means and some other minor bug-fixes and improvements.

Scientific Software - Peer-reviewed - Python
Published by fnattino almost 6 years ago

CGC - v0.1.0

This is the first release of the Clustering Geo-Data Cube (CGC) package! The project full documentation can be found here.

Scientific Software - Peer-reviewed - Python
Published by fnattino almost 6 years ago