Aug 1, 2020 · In this paper, we propose the S2G-Stream algorithm based on growing neural gas and soft subspace clustering. We introduce two types of entropy weighting.
Subspace clustering discovers clusters embedded in multiple, overlapping subspaces of high dimensional data. It has been successfully applied in many ...
Subspace clustering aims at discovering the clusters embedded in multiple, overlapping subspaces of high dimensional data. It has been successfully applied in ...
Subspace data stream clustering with global and local weighting models
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Subspace clustering discovers clusters embedded in multiple, overlapping subspaces of high dimensional data. It has been successfully applied in many domains.
Abstract: Subspace clustering discovers clusters embedded in multiple, overlapping subspaces of high dimensional data. It has been successfully applied in ...
This paper proposes the S2G-Stream algorithm based on growing neural gas and soft subspace clustering, and introduces two types of entropy weighting for ...
Subspace data stream clustering with global and local weighting models. Attaoui, M.O.; Azzag, H.; Lebbah, M.; Keskes, N. Neural Computing and Applications 33 ...
We introduce two types of entropy weighting for both features and blocks, and also two weighting models (local and global). Experiments on public datasets ...
Subspace data stream clustering with global and local weighting models ; 1 Université Sorbonne Paris Nord ; 2 LIPN - Laboratoire d'Informatique de Paris-Nord ; 3 ...
Subspace clustering discovers clusters embedded in multiple, overlapping subspaces of high dimensional data. It has been successfully applied in many domains.