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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0470013192.bsa501openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.1007/978-3-540-77004-6_5openalex-snapshot
Clustering Social Networks
inferredcites →https://doi.org/10.1007/978-3-642-16712-6_100780openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.1007/s10115-007-0114-2openalex-snapshot
Top 10 algorithms in data mining
inferredcites →https://doi.org/10.1007/s11222-007-9033-zopenalex-snapshot
A tutorial on spectral clustering
inferredcites →https://doi.org/10.1016/j.eswa.2011.08.020openalex-snapshot
Hybrid personalized recommender system using centering-bunching based clustering algorithm
inferredcites →https://doi.org/10.1016/j.jsb.2012.10.010openalex-snapshot
A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography
inferredcites →https://doi.org/10.1016/j.neucom.2005.06.004openalex-snapshot
: Two-directional two-dimensional PCA for efficient face representation and recognition
inferredcites →https://doi.org/10.1016/j.neucom.2017.03.071openalex-snapshot
Integrating feature and graph learning with low-rank representation
inferredcites →https://doi.org/10.1016/j.neucom.2017.06.005openalex-snapshot
Kernel-driven similarity learning
inferredcites →https://doi.org/10.1016/j.neunet.2013.11.009openalex-snapshot
Feature selection and multi-kernel learning for sparse representation on a manifold
inferredcites →https://doi.org/10.1016/j.neuroimage.2010.09.074openalex-snapshot
Semi-supervised cluster analysis of imaging data
inferredcites →https://doi.org/10.1016/j.patcog.2014.09.017openalex-snapshot
Estimating the number of clusters in a numerical data set via quantization error modeling
inferredcites →https://doi.org/10.1023/a:1021240730564openalex-snapshot
Hybrid Recommender Systems: Survey and Experiments
inferredcites →https://doi.org/10.1038/44565openalex-snapshot
Learning the parts of objects by non-negative matrix factorization
inferredcites →https://doi.org/10.1090/cbms/092openalex-snapshot
Spectral Graph Theory
inferredcites →https://doi.org/10.1109/34.598228openalex-snapshot
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/34.927464openalex-snapshot
From few to many: illumination cone models for face recognition under variable lighting and pose
inferredcites →https://doi.org/10.1109/34.990133openalex-snapshot
Unsupervised feature selection using feature similarity
inferredcites →https://doi.org/10.1109/acv.1994.341300openalex-snapshot
Parameterisation of a stochastic model for human face identification
inferredcites →https://doi.org/10.1109/cvpr.2005.38openalex-snapshot
A Non-Local Algorithm for Image Denoising
inferredcites →https://doi.org/10.1109/cvpr.2009.5206547openalex-snapshot
Sparse subspace clustering
inferredcites →https://doi.org/10.1109/iccv.2005.27openalex-snapshot
A unifying approach to hard and probabilistic clustering
inferredcites →https://doi.org/10.1109/iccv.2011.6126422openalex-snapshot
Latent Low-Rank Representation for subspace segmentation and feature extraction
inferredcites →https://doi.org/10.1109/iccv.2013.35openalex-snapshot
Latent Space Sparse Subspace Clustering
inferredcites →https://doi.org/10.1109/icdm.2003.1250972openalex-snapshot
Ontologies improve text document clustering
inferredcites →https://doi.org/10.1109/icdm.2010.98openalex-snapshot
Hierarchical Ensemble Clustering
inferredcites →https://doi.org/10.1109/icdm.2015.66openalex-snapshot
Simultaneous Semi-NMF and PCA for Clustering
inferredcites →https://doi.org/10.1109/icdm.2016.0061openalex-snapshot
Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method
inferredcites →https://doi.org/10.1109/lsp.2016.2573159openalex-snapshot
Feature Selection Embedded Subspace Clustering
inferredcites →https://doi.org/10.1109/tkde.2013.39openalex-snapshot
A Review on Multi-Label Learning Algorithms
inferredcites →https://doi.org/10.1109/tpami.2004.1261097openalex-snapshot
Two-dimensional pca: a new approach to appearance-based face representation and recognition
inferredcites →https://doi.org/10.1109/tpami.2007.1115openalex-snapshot
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
inferredcites →https://doi.org/10.1109/tpami.2008.277openalex-snapshot
Convex and Semi-Nonnegative Matrix Factorizations
inferredcites →https://doi.org/10.1109/tpami.2010.231openalex-snapshot
Graph Regularized Nonnegative Matrix Factorization for Data Representation
inferredcites →https://doi.org/10.1109/tpami.2011.130openalex-snapshot
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration
inferredcites →https://doi.org/10.1109/tpami.2012.271openalex-snapshot
Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization
inferredcites →https://doi.org/10.1145/1835804.1835848openalex-snapshot
Unsupervised feature selection for multi-cluster data
inferredcites →https://doi.org/10.1145/1970392.1970395openalex-snapshot
Robust principal component analysis?
inferredcites →https://doi.org/10.1145/2601434openalex-snapshot
Robust Manifold Nonnegative Matrix Factorization
inferredcites →https://doi.org/10.1145/2783258.2783303openalex-snapshot
Subspace Clustering Using Log-determinant Rank Approximation
inferredcites →https://doi.org/10.1145/2987378openalex-snapshot
Nonnegative Matrix Factorization with Integrated Graph and Feature Learning
inferredcites →https://doi.org/10.1145/3003730openalex-snapshot
Robust Graph Regularized Nonnegative Matrix Factorization for Clustering
inferredcites →https://doi.org/10.1162/089976698300017467openalex-snapshot
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
inferredcites →https://doi.org/10.2307/2347949openalex-snapshot
On Using Principal Components Before Separating a Mixture of Two Multivariate Normal Distributions
inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot
Data mining: concepts and techniques

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s11063-021-10634-3openalex-snapshot
Multi-view Clustering Based on Low-rank Representation and Adaptive Graph Learning
inferred← citeshttps://doi.org/10.1016/j.ins.2019.09.074openalex-snapshot
Robust principal component analysis: A factorization-based approach with linear complexity
inferred← citeshttps://doi.org/10.1016/j.ins.2021.01.087openalex-snapshot
Nonnegative matrix factorization with local similarity learning
inferred← citeshttps://doi.org/10.1016/j.ins.2021.12.098openalex-snapshot
Two-dimensional semi-nonnegative matrix factorization for clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2019.105102openalex-snapshot
Multi-graph fusion for multi-view spectral clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106567openalex-snapshot
Outlier-robust multi-view clustering for uncertain data
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.06.098openalex-snapshot
Auto-weighted multi-view constrained spectral clustering
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.07.086openalex-snapshot
Clustering with similarity preserving
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.01.058openalex-snapshot
ℓ1/2-based penalized clustering with half thresholding algorithm
inferred← citeshttps://doi.org/10.1016/j.neunet.2019.10.010openalex-snapshot
Partition level multiview subspace clustering
inferred← citeshttps://doi.org/10.1016/j.neunet.2020.05.030openalex-snapshot
Structure learning with similarity preserving
inferred← citeshttps://doi.org/10.1016/j.neunet.2020.07.014openalex-snapshot
Relation-Guided Representation Learning
inferred← citeshttps://doi.org/10.1016/j.patcog.2018.11.007openalex-snapshot
Auto-weighted multi-view clustering via kernelized graph learning
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107627openalex-snapshot
Structured graph learning for clustering and semi-supervised classification
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107749openalex-snapshot
Kernel two-dimensional ridge regression for subspace clustering
inferred← citeshttps://doi.org/10.1109/access.2019.2935089openalex-snapshot
Heterogeneous Graph Based Similarity Measure for Categorical Data Unsupervised Learning
inferred← citeshttps://doi.org/10.1109/access.2020.3022749openalex-snapshot
Feature Selection Embedded Robust K-Means
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00749openalex-snapshot
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices
inferred← citeshttps://doi.org/10.1109/itnec.2019.8729161openalex-snapshot
A Dynamic Model on News Popularity Prediction in Online Social Networks
inferred← citeshttps://doi.org/10.1109/tcyb.2018.2887094openalex-snapshot
Robust Graph Learning From Noisy Data
inferred← citeshttps://doi.org/10.1109/tcyb.2019.2916580openalex-snapshot
An Inception Convolutional Autoencoder Model for Chinese Healthcare Question Clustering
inferred← citeshttps://doi.org/10.1109/tmm.2019.2929943openalex-snapshot
Salient Object Detection via Multiple Instance Joint Re-Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2020.3006877openalex-snapshot
Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data
inferred← citeshttps://doi.org/10.1145/3394171.3413597openalex-snapshot
Towards Clustering-friendly Representations
inferred← citeshttps://doi.org/10.1145/3474842openalex-snapshot
Significant DBSCAN+: Statistically Robust Density-based Clustering
inferred← citeshttps://doi.org/10.1155/2021/6641180openalex-snapshot
A Folded Concave Penalty Regularized Subspace Clustering Method to Integrate Affinity and Clustering
inferred← citeshttps://doi.org/10.1371/journal.pone.0208503openalex-snapshot
A new development of non-local image denoising using fixed-point iteration for non-convex ℓp sparse optimization
inferred← citeshttps://doi.org/10.1371/journal.pone.0215450openalex-snapshot
Subspace structural constraint-based discriminative feature learning via nonnegative low rank representation
inferred← citeshttps://doi.org/10.1371/journal.pone.0269878openalex-snapshot
Reweighted multi-view clustering with tissue-like P system
inferred← citeshttps://doi.org/10.3390/app9071411openalex-snapshot
Tensor Robust Principal Component Analysis via Non-Convex Low Rank Approximation
inferred← citeshttps://doi.org/10.3934/aci.2024003openalex-snapshot
Clustering accuracy
inferred← citeshttps://doi.org/10.48550/arxiv.2106.09874openalex-snapshot
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering
inferred← citeshttps://doi.org/10.63313/jcsft.9008openalex-snapshot
Graph Regularized Double Log-determinant Minimization for Subspace Clustering
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