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Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters.
Jonathan de Andrade Silva
Eduardo R. Hruschka
Published in:
ICMLA (2) (2011)
Keyphrases
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evolving data streams
computational complexity
data clustering
k means
clustering algorithm
learning algorithm
data streams
machine learning algorithms
cluster centers
stream clustering
streaming data
random forests
memory requirements
hierarchical clustering
outlier detection
text classification
data structure