A weight-incorporated similarity-based clustering ensemble method based on swarm intelligence

    Knowl.-Based Syst., Volume 104, Issue C, 2016, Pages 156-164.

    Cited by: 36|Bibtex|Views16|Links
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    Abstract:

    Clustering methods play an important role in data mining and various other applications. This work investigates them based on swarm intelligence. It proposes a new clustering method by combining K-means clustering method and mussels wandering optimization algorithm. A single cluster method is well recognized to achieve limited performance...More

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