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What is Extreme Value k-Means Clustering about?

This document describes a new clustering algorithm called Extreme Value k-means that uses concepts from Extreme Value Theory to improve upon traditional k-means clustering. It transforms the Euclidean space into a probability space using generalized extreme value and generalized Pareto distributions to measure sample-centroid similarity. The algorithm is extended to online clustering of streaming data using mini-batch learning.

Author

Edward

Language

EN