What is it about?
We introduce the open set of topology into the clustering analysis for robust clustering big data.
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Why is it important?
Theta-open set clustering is proposed with robust performance for data sets even with high dimensions, complex shapes, unbalanced distribution & noises.
Perspectives
This method has outstanding advantages compared to others: it can classify the complex type of data sets with different kinds of shapes robustly, recognize noises reasonably, and deal with data set with a high dimension; keeps effective even when the distribution of data is unbalanced; requires only one input parameter.
Professor SL WANG
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-Open set clustering-A new topological clustering method, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, May 2018, Wiley,
DOI: 10.1002/widm.1262.
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