Attributed community mining using joint general non-negative matrix factorization with graph Laplacian

时间

(1)2025以来 (15)2024以来 (27)2023以来

领域

(238)计算机科学与... (45)数学 (34)控制科学与工程 + (32)机械工程 (30)物理学 (21)生物学 (11)光学工程 (10)信息与通信工程 (10)管理科学与工程 (9)电子科学与技术 -

核心

(121)SCIE索引 (98)EI索引 (71)SCI索引 + (10)中国科技核心... (8)北大核心期刊 (6)CSCD 索引 (0)SSCI索引 (0)CSSCI索引 (0)AHCI索引 -

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(219)免费下载 (2)登录查看 (82)付费下载 + -

关键词

graph laplacian non-negative matri... manifold regulariz... + matrix decomposition matrix factorization manifold learning face recognition factorization data representation dimensionality red... -

类型

期刊学位会议 + 图书专利 -

作者

X He J Han X Hu + Y Ma X Jiang Y Dong D Cai JX Liu J Wang Y Zhang -

期刊

《Neurocomputing》《Pattern Recogn... 《IEEE Transacti... + 《IEEE Transacti... 《Pattern Recogn... 《IEEE Transacti... 《Information Sc... 《Acm Transactio... 《Neural Process... 《Siam Journal o... -

机构

Chinese Academy ... Department of Co... Zhejiang Univers... + School of Intern... School of Mathem... Signal Processin... State Grid Gansu... The Laboratory f... The Yangtze Delt... Univ -

Graph regularized non-negative matrix factorization for data representation

Nonnegative matrix factorizationgraph Laplacianmanifold regularizationMatrix factorization techniques have been frequently applied in information retrie...

C Deng ， X He ， J Han ， ... - 《IEEE Transaction... - 被引量: 1430 - 2011年

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On the equivalence of nonnegative matrix factorization and spectral clustering

On the Equivalence of Nonnegative Matrix Factorization and K-means — Spectral Clustering Chris Ding Xiaofeng He Horst D. Simon Rong Jin December 4,...

CHQ Ding ， X He - 《Factorization》 - 被引量: 1065 - 2005年

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Locally Consistent Concept Factorization for Document Clustering

Thus, we call it Locally Consistent Concept Factorization (LCCF). By using the graph Laplacian to smooth the document-to-concept mapping, LCCF can ...

D Cai ， X He ， J Han - 《IEEE Transaction... - 被引量: 228 - 2011年

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Multiple graph regularized nonnegative matrix factorization

Non-negative matrix factorization (NMF) has been widely used as a data representation method based on components. To overcome the disadvantage of NMF in...

JY Wang ， H Bensmail ， G Xin - 《Pattern Recognit... - 被引量: 122 - 2013年

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Hybrid Manifold Regularized Non-negative Matrix Factorization for Data Representation

Non-negative matrix factorizationGraph LaplacianManifold learningHessianNon-negative Matrix Factorization (NMF) has received considerable attention due ...

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Graph-Regularized Non-Negative Matrix Factorization for Single-Cell Clustering in scRNA-Seq Data

The advent of single-cell RNA sequencing (scRNA-seq) has brought forth fresh perspectives on intricate biological processes, revealing the nuances and d...

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Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expr...

Differential expression plays an important role in cancer diagnosis and classification. In recent years, many methods have been used to identify differentially expressed genes. However, the recognition rate and reliability of gene sel...

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Improving nonnegative matrix factorization with advanced graph regularization q

Nonnegative matrix factorizationGraph LaplacianLinear projectionGraph regularized nonnegative matrixfactorizationRECOMMENDER SYSTEMSALGORITHMS

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Novel Collaborative Weighted Non-negative Matrix Factorization Improves Prediction of Disease-Associated Human Microbes

human MDA prediction using the proposed collaborative weighted non-negative matrix factorization (CWNMF) technique and graph Laplacian regularized least...

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