Soft Subspace Topological Clustering over Evolving Data Stream

Mohammed Oualid Attaoui; Mustapha Lebbah; Nabil Keskes; Hanene Azzag; Mohammed Ghesmoune

doi:10.1007/978-3-030-19642-4_22

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Soft Subspace Topological Clustering over Evolving Data Stream

Mohammed Oualid Attaoui Mustapha Lebbah Nabil Keskes Hanene Azzag Mohammed Ghesmoune

Year: 2019 Advances in intelligent systems and computing Pages: 225-230 Publisher: Springer Nature

DOI: 10.1007/978-3-030-19642-4_22

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Keywords:

Cluster analysis Data stream clustering Linear subspace Computer science Clustering high-dimensional data Subspace topology Data stream Pattern recognition (psychology) Correlation clustering Data mining CURE data clustering algorithm Single-linkage clustering Artificial intelligence Mathematics

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Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Image Retrieval and Classification Techniques

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Face and Expression Recognition

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Soft Subspace Topological Clustering over Evolving Data Stream

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