Abstract: Data stream clustering reveals patterns within continuously arriving, potentially unbounded data sequences. Numerous data stream algorithms have been proposed to cluster data streams. The ...

Abstract: Stochastic configuration networks (SCNs) have been widely used as predictive models to model complex nonlinear systems due to their advantages in terms of easy-to-implement, fast learning ...

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Runs on Python 3.8 or higher on Windows, Linux and MacOS. To run an example using an image-only dataset, create a file named example_image.py with the following contents in the same directory that ...