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: A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering.
Ke Alexander Wang
Xinran Bian
Pan Liu
Donghui Yan
Published in:
CoRR (2019)
Keyphrases
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k means
clustering method
data clustering
learning algorithm
distance metric
kernel learning
similarity measure
expectation maximization
clustering algorithm
high dimensional
least squares
theoretical analysis
training samples
improved algorithm
kernel matrix