Jul 5, 2016 · In this paper, our unsupervised deep sparse feature selection model (UDSFS) intends to handle it by selecting both the most discriminate feature ...
We propose a new unsupervised feature selection model, unsupervised deep sparse feature selection (UDSFS) in this paper.
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Can feature selection be done when using unsupervised learning?
What is sparse feature selection?
What is the difference between supervised and unsupervised feature selection?
In this paper, we focus on unsupervised feature selection. As we have known, the combination of several feature units into a whole feature vector is broadly ...
Jul 10, 2024 · In contrast, unsupervised deep hashing without label dependence enjoys the advantages of well scalability. Nevertheless, due to the relaxed ...
soft label guided Unsupervised Discriminative Sparse Subspace Feature selection - SunseaIU/UDS2FS.
We propose an effective feature selection approach based on deep neural network and feature screening, called DeepFS, under an ultra-high-dimension, small- ...
Unsupervised feature selection involves finding a small number of highly infor- mative features, in the absence of a specific supervised learning task.
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Sep 4, 2023 · Unsupervised feature selection aims to select a subset from the original features that are most useful for the downstream tasks without ...
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a ...
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Mar 14, 2023 · Their proposed method, QuickSelection, which is designed for unsupervised feature selection, trains a sparse neural network from scratch to ...