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Deterministic coresets for k-Means of big sparse data
Artem Barger
,
Dan Feldman
Department of Information Systems
Department of Computer Science
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Dive into the research topics of 'Deterministic coresets for k-Means of big sparse data'. Together they form a unique fingerprint.
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Computer Science
Approximation (Algorithm)
100%
Squared Distance
100%
Experimental Result
100%
Sparsity
100%
k-means Clustering
100%
Negative Weight
100%
Linear Dependency
100%
Restricted Zone
100%
Keyphrases
K-means
100%
Sparse Data
100%
K-center
66%
Weighted Sums
33%
Scalar
33%
Sparsity
33%
Sum of Squared Distance
33%
Non-negative Weight
33%
Public Dataset
33%
Amazon Web Services
33%
Restricted Zone
33%
Linear Dependence
33%
Size-independent
33%
Closest Point
33%
Mathematics
Integer
100%
Approximates
100%
Weighted Sum
100%
Distributed Data
100%
Data Streaming
100%
Scalar
100%