Mar 19, 2019 · E-DSOM has three main advantages over the original DSOM: 1) improved classification accuracy; 2) improved generalization capability; and 3) need ...
In this work, we focus on using Self-Organizing Maps (SOMs) based methodology for image classification using unsupervised deep learning. The SOM is an ...
Mar 23, 2019 · The Deep Self-Organizing Map (DSOM) was introduced to embed hierarchical feature abstraction capability to SOMs.
Nov 27, 2023 · Self organized maps give us a more visual way of seeing how neural networks approach classification tasks, by explicitly mapping these clusters to a 2D space.
An extended version of the original DSOM algorithm (E-DSOM) is presented, modified to be completely unsupervised, and architecture is modified to learn ...
Mar 16, 2023 · Self-Organizing Map (SOM) uses the competitive. HLR to establish connections between neurons, obtaining visual features in an unsupervised way.
Nov 5, 2019 · In this study, we focus on using self-organizing maps (SOMs) based methodology for image classification using unsupervised deep learning. The ...
Apr 2, 2023 · In the family of Unsupervised Deep learning networks Self Organized Maps are used to reduce dimensionality & make clusters.
Missing: Classification. | Show results with:Classification.
This paper presents a DSOM architecture that is easily parallelizable and hence more computationally efficient (PD-SOM). The presented architecture has three ...
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