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Abstract: While manifold learning algorithms, such as ISOMAP (isometric mapping) and LLE (locally linear embedding), can find the intrinsic low-dimensional ...
Jan 6, 2024 · To overcome this problem, based on the robustness of SOM (self-organizing map), a new robust manifold learning algorithm, i.e. TO-SOM (training ...
To overcome this problem, based on the robustness of SOM (Self-. Organizing Map), a new robust manifold learning algorithm, i.e. TO-SOM (Training Orderly-SOM), ...
While manifold learning algorithms, such as ISOMAP (Isometric Mapping) and LLE (Locally Linear Embedding), can find the intrinsic low-dimensional nonlinear ...
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The Self Organizing Map (SOM) model is an unsupervised learning neural network that has been successfully applied as a data mining tool. The advantages of ...
Missing: Manifold | Show results with:Manifold
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May 1, 2019 · In this paper, a new intelligent adaptive learning SOM, in contrast with the conventional SOM algorithm, is presented. The proposed SOM ...
Missing: Manifold | Show results with:Manifold
ML-MOEA/SOM: A Manifold-Learning-Based Multi-objective ...
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Here, a new algorithm called Self Organizing Classifiers is proposed which faces this problem from a different perspective. Instead ... [Show full abstract] ...
Here we present a self-organizing algorithm for embedding a set of related ... maps of emotions. Emotions coordinate our behavior and physiological ...
Missing: Robust | Show results with:Robust
We propose a modification of the Self-organizing map (SOM) algorithm ... A New Robust Manifold Learning Algorithm Based on Self-Organizing Map. Go to ...
