Articles with "robust clustering" as a keyword



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A reweighting approach to robust clustering

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Published in 2018 at "Statistics and Computing"

DOI: 10.1007/s11222-017-9742-x

Abstract: An iteratively reweighted approach for robust clustering is presented in this work. The method is initialized with a very robust clustering partition based on an high trimming level. The initial partition is then refined to… read more here.

Keywords: reweighting approach; approach robust; robust clustering;
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Robust clustering tools based on optimal transportation

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Published in 2019 at "Statistics and Computing"

DOI: 10.1007/s11222-018-9800-z

Abstract: A robust clustering method for probabilities in Wasserstein space is introduced. This new ‘trimmed k-barycenters’ approach relies on recent results on barycenters in Wasserstein space that allow intensive computation, as required by clustering algorithms to… read more here.

Keywords: space; based optimal; optimal transportation; tools based ... See more keywords
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Robust clustering of languages across Wikipedia growth

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Published in 2017 at "Royal Society Open Science"

DOI: 10.1098/rsos.171217

Abstract: Wikipedia is the largest existing knowledge repository that is growing on a genuine crowdsourcing support. While the English Wikipedia is the most extensive and the most researched one with over 5 million articles, comparatively little… read more here.

Keywords: languages across; clustering languages; across wikipedia; robust clustering ... See more keywords

Low-Rank Linear Embedding for Robust Clustering

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Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2022.3144294

Abstract: The performance of k-means clustering is often degenerate when dealing with high-dimensional and noisy scenarios. In this study, an end-to-end robust clustering method with low-rank linear embedding techniques (RCLR) is presented in conjunction with k-means.… read more here.

Keywords: mml mml; mml; low rank; robust clustering ... See more keywords

Robust clustering based on finite mixture of multivariate fragmental distributions

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Published in 2023 at "Statistical Modelling"

DOI: 10.1177/1471082x211048660

Abstract: A flexible class of multivariate distributions called scale mixtures of fragmental normal (SMFN) distributions, is introduced. Its extension to the case of a finite mixture of SMFN (FM-SMFN) distributions is also proposed. The SMFN family… read more here.

Keywords: finite mixture; smfn; smfn distributions; mixture ... See more keywords