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Finding multi-density clusters in non-stationary data streams using an ant colony with adaptive parameters
(IEEE Press, 2017-06)
Density based methods have been shown to be an effective approach for clustering non-stationary data streams. The number of clusters does not need to be known a priori and density methods are robust to noise and changes ...
Ant colony stream clustering: A fast density clustering algorithm for dynamic data streams
(IEEE Press, 2018-03-30)
A data stream is a continuously arriving sequence of data and clustering data streams requires additional considerations to traditional clustering. A stream is potentially unbounded, data points arrive on-line and each ...
Dynamic based stream clustering using ants
Data stream mining is the process of extracting knowledge from continuous sequences of data. It differs from conventional data mining in that a stream is potentially unbounded, data points arrive online and each data point ...