A fast version of the k-means classification algorithm for astronomical applications
Context. K-means is a clustering algorithm that has been used to classify large datasets in astronomical databases. It is an unsupervised method, able to cope very different types of problems. Aims: We check whether a variant of the algorithm called single pass k-means can be used as a fast alternative to the traditional k-means. Methods: The
Ordovás-Pascual, I. et al.
Fecha de publicación:
5
2014