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

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