Jun 21, 2020 · In this article, we follow the approach that different, non-redundant k-means-like clusterings may exist in different, arbitrarily oriented ...
Nr-DipMeans is an extension of Nr-Kmeans that automatically determines the number of clusters within each subspace harnessing Haritgan's dip test. To summarize, ...
The new research field of non-redundant clustering addresses this class of problems. In this article, we follow the approach that different, non-redundant k - ...
This article follows the approach that different, non-redundant k-means-like clusterings may exist in different, arbitrarily oriented subspaces of the ...
The new research field of non-redundant clustering addresses this class of problems. In this article, we follow the approach that different, non-redundant k- ...
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Nr-kmeans (Mautz et al. 2018) tries to explore multiple mutually orthogonal subspaces from vector data, along with the optimization of k-means objective ...
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans ; ISSN. 1556-4681 ; Page Range. 55:1-55:24 ; Number. 5 ; Volume. 14 ; Date. June 2020.
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans · DOMINIK MAUTZ et. al. (Go back to Expert Search). Related Experts. Rank, Expert, #Related ...
Dec 19, 2023 · One could argue that the multiple repetitions of Nr-Kmeans included in each run of AutoNR strongly favor our algorithm. However, we would like ...
Jun 22, 2020 · A huge object collection in high-dimensional space can often be clustered in more than one way, for instance, objects could be clustered by ...