activity
20102015
most citedA Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

1.2k citations · 1.4k across the 10 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2015

Reduced-Set Kernel Principal Components Analysis for Improving the Training and Execution Speed of Kernel Machines

Hassan A. Kingravi, Patricio A. Vela, Alexandar Gray

This paper presents a practical, and theoretically well-founded, approach to improve the speed of kernel manifold learning algorithms relying on spectral decomposition. Utilizing r…