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Results tagged with clustering
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user 180931
Cluster analysis is the task of partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. [Clustered-standard-errors and/or cluster-samples should be tagged as such; do NOT use the "clustering" tag for them.]
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Unsupervised concept drift detection in clustering
I am implementing a clustering-based algorithm for non-stationary data stream.
Most concept drift techniques are based on change in classification output (or on its accuracy). … Is their a way for detecting concept drift using only the distance between centroid of clustering that evolved over time? …
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