Correlation Clustering in Data Streams.

Kook Jin Ahn Graham Cormode Sudipto Guha Andrew McGregor Anthony Wirth

Published in: Algorithmica (2021)

Keyphrases

correlation clustering
data streams
sliding window
hierarchical clustering
concept drift
hard constraints
data sets
data distribution
map inference
clustering framework
feature space
active learning
cost function
semi supervised
statistically significant
outlier detection
constrained clustering