Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

Abstract: Data clustering is a fundamental problem in the field of machine learning. Among the numerous clustering techniques, matrix factorization-based methods have achieved impressive performances ...

Abstract: This paper proposes a K-means clustering based image segmentation algorithm which select the centroids automatically. It eliminates the limitations associated with K-means clustering such as ...

Create a virtualenv. Samples are compatible with Python 3.6+. python3 -m venv env source env/bin/activate Install the dependencies needed to run the samples.