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Clustering high-dimensional data stream is a difficult and important problem. Grid-based algorithms are easily influenced by the size and borders of the grid. To overcome the weakness, we propose a new Irregualr Grid-based Clustering algorithm for high-dimensional data streams, called IGDCL. This method incorporates an irregular grid structure and subspace clustering algorithm. In this paper, an irregular...
Clustering is a significant and difficult problem in data stream mining due to a mass of streaming data arriving continuously. High-dimensional data streams make clustering analysis more complex because of the sparsity of data. In this paper, we propose a new clustering method for high-dimensional data streams, called WSCStream. The method incorporates a fading cluster structure and a dimensional...
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