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Attention Non-Negative Spectral Clustering

https://doi.org/10.2139/ssrn.4683751
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23/23 checkable references clean · checked 2026-08-28

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

45 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 23 checked references that resolve
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The formation of agricultural e‐commerce clusters: A case from China
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CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data
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Image Clustering via Deep Embedded Dimensionality Reduction and Probability-Based Triplet Loss
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Deep Clustering: On the Link Between Discriminative Models and K-Means
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Neural generative model for clustering by separating particularity and commonality
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SPICE: Semantic Pseudo-Labeling for Image Clustering
resolves10.1609/aaai.v35i5.16590
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
resolves10.1109/TPAMI.2022.3152247
A Survey on Vision Transformer
resolves10.1109/TCSVT.2022.3232604
Deep Attention-Guided Graph Clustering With Dual Self-Supervision
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Regression Shrinkage and Selection via The Lasso: A Retrospective
resolves10.1016/j.eswa.2021.115704
Robust clustering with sparse corruption via <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e4847" altimg="si39.svg"><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mo>,</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math>, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e4861" altimg="si44.svg"><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math> norm constraint and Laplacian regularization
resolves10.1111/coin.12062
An Algorithm for Clustering Using <i>L</i><sub>1</sub>‐Norm Based on Hyperbolic Smoothing Technique
resolves10.1007/s11590-017-1152-7
Data filtering for cluster analysis by $$\ell _0$$ ℓ 0 -norm regularization
resolves10.1109/TNNLS.2021.3105822
Spectral Clustering With Adaptive Neighbors for Deep Learning
resolves10.1109/LSP.2022.3217441
One-Step Adaptive Spectral Clustering Networks
resolves10.1016/j.neucom.2017.01.085
Self-weighted spectral clustering with parameter-free constraint
resolves10.1017/CBO9780511809071
Introduction to Information Retrieval
resolves10.1007/BF01908075
Comparing partitions
The 45 references without a DOI — listed, not checked
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no DOI — not checkedTowards k-means-friendly spaces: Simultaneous deep learning and clustering
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no DOI — not checkedLearning to cluster faces on an affinity graph
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no DOI — not checkedLearning hierarchical graph neural networks for image clustering
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no DOI — not checkedAutoencoders, minimum description length and helmholtz free energy
no DOI — not checkedImagenet classification with deep convolutional neural networks
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no DOI — not checkedConvex optimization procedure for clustering: Theoretical revisit
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What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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