Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience - Non-pairwise metric: relative_to_all

• new non-pairwise metric: relativetoall (credits to the anonymous reviewer for the idea)
• more rigorous tests
• compact modules

Scientific Software - Peer-reviewed - Python
Published by raamana about 8 years ago

Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience - Arbitrary distances, and new builtin metrics.

0.4 (2017-11-21)

• New feature: ability to apply arbitrary [distance/similarity] functions
• New feature: ability to apply functions on original data
• New metrics: difference in medians [and means]
• Better handling of NaNs/Non-finite values via masked arrays
• Recognizing when the metric is symmetric or not.

Scientific Software - Peer-reviewed - Python
Published by raamana over 8 years ago

Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience - Release for JOSS review!

Scientific Software - Peer-reviewed - Python
Published by raamana over 8 years ago

Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience - New feature: CLI for HPC usage; More comprehensive testing with Hypothesis

Scientific Software - Peer-reviewed - Python
Published by raamana over 8 years ago

Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience - Preliminary release!

Scientific Software - Peer-reviewed - Python
Published by raamana over 8 years ago