└── README.md /README.md: -------------------------------------------------------------------------------- 1 | [stars-img]: https://img.shields.io/github/stars/Jeaninezpp/Incomplete-multi-view-clustering?style=plastic 2 | [stars-url]: https://github.com/Jeaninezpp/Incomplete-multi-view-clustering/stargazers 3 | [fork-img]: https://img.shields.io/github/forks/Jeaninezpp/Incomplete-multi-view-clustering?style=plastic 4 | [fork-url]: https://github.com/Jeaninezpp/Incomplete-multi-view-clustering/network/members 5 | 6 | [![GitHub stars][stars-img]][stars-url] 7 | [![GitHub forks][fork-img]][fork-url] 8 | 9 | # Incomplete Multi-view Clustering (IMC) 10 | Collections for **incomplete multi-view clustering** methods (papers and codes). 11 | We are looking forward for other participants to share their papers and codes. If interested, please contact . 12 | 13 | 14 | 15 | **[:bell: News! :bell: ] Update at November 2022.** 16 | 17 | ## Content 18 | - [Survey](#survey) 19 | - [Kernel IMC](#kernel-imc) 20 | - [Subspace IMC](#subspace-imc) 21 | - [Graph IMC](#graph-imc) 22 | - [Tensor IMC](#tensor-imc) 23 | - [Deep IMC](#deep-imc) 24 | ## Survey 25 | |Paper|Year|Publish| 26 | |:--|:--|:--| 27 | |[A survey on multi-view learning](https://arxiv.org/pdf/1304.5634.pdf)|2017|IEEE transactions on artificial intelligence| 28 | |Multi-view learning overview: Recent progress and new challenges|2017|Information Fusion| 29 | |Multi-view clustering: A survey|2018|Big Data Mining and Analytics| 30 | |A study of graph-based system for multi-view clustering|2019|Knowledge-Based Systems| 31 | |An overview of recent multi-view clustering|2020|Neurocomputing| 32 | |[A Survey on Incomplete Multiview Clustering](https://github.com/DarrenZZhang/Survey_IMC/tree/87b9775fffdfe1098f9deeea195675afaf0c6acf)|2022|IEEE TSMCA| 33 | |Representation Learning in Multi-view Clustering: A Literature Review|2022|Data Science and Engineering| 34 | 35 | 36 | 37 | ## Kernel IMC 38 | |Paper|Abbreviation|Year|Publish|Code| 39 | | :-----| :------: | :------: | :------: | :------: | 40 | |[Incomplete Multi-view Clustering](https://link.springer.com/content/pdf/10.1007/978-3-319-48390-0_25.pdf)|IVC|2016|-|| 41 | |[Late fusion incomplete multi-view clustering](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6494716/pdf/nihms-1010540.pdf)|LF-IMVC|2018|IEEE TPAMI|[code](https://github.com/xinwangliu/Late-Fusion-Incomplete-Multi-view-Clustering)| 42 | |Localized Incomplete Multiple Kernel k-means||2018|IJCAI|| 43 | |Multiple kernel k-means with incomplete kernels| MKKM-IK-MK|2019|IEEE TPAMI|[code](https://github.com/wangsiwei2010/multiple_kernel_clustering_with_absent_kernel)| 44 | |[Efficient and effective incomplete multi-view clustering](https://dl.acm.org/doi/pdf/10.1609/aaai.v33i01.33014392)|EE-IMVC|2019|AAAI|| 45 | |[Efficient and effective regularized incomplete multi-view clustering](http://www.lilyliliu.com/upload/P5f09526a86574c6d811b271d7dbff5a1.pdf)|EE-R-IMVC|2020|IEEE TPAMI|[code](https://github.com/xinwangliu/TPAMI_EEIMVC)| 46 | |[One-Stage Incomplete Multi-view Clustering via Late Fusion](https://dl.acm.org/doi/pdf/10.1145/3474085.3475204?casa_token=TyAtxwNp_pQAAAAA:1MzpayzNojweyfN_FwYrR_i_jT-PJIblJd4rRHS7wGXnSdjcYLppI1l2P0VCNQ7Ocf0N8shkKW7_mGM)|OS-LF-IMVC|2021|ACM MM|[code](https://github.com/ethan-yizhang/OSLF-IMVC)| 47 | |Incomplete multiple kernel alignment maximization for clustering||2021|IEEE TPAMI|| 48 | |Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization||2021|IEEE TCYB|| 49 | |[Dynamic Incomplete Multi-view Imputing and Clustering](https://dl.acm.org/doi/pdf/10.1145/3503161.3548245?casa_token=Q3oj24QKJlYAAAAA:YzyoTzFFgVSSV07cUZblDirzHq_c5IhQqJS6G_KKoCtteJnT-gA0wgssDo9FfGBYNU_gVtVcsEULtpo)||2022|ACM MM|| 50 | ## Subspace IMC 51 | |Paper|Abbreviation|Year|Publish|Code| 52 | | :-----| :------: | :------: | :------: | :------: | 53 | |[Partial Multi-View Clustering](https://ojs.aaai.org/index.php/AAAI/article/view/8973)|PVC|2014|AAAI|[code](https://github.com/chaytonmin/Partial-Multi-View-Clustering/tree/master/PVC)| 54 | |[Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with $L_{21}$ Regularization](https://link.springer.com/content/pdf/10.1007/978-3-319-23528-8_20.pdf)|MIC|2015|Machine Learning and Knowledge Discovery in Databases|| 55 | |[Incomplete Multi-view Clustering via Subspace Learning](https://dl.acm.org/doi/pdf/10.1145/2806416.2806526?casa_token=t96qL3uqDTIAAAAA:3DDmY4q0GoZR-cX9yVFhwqP1HEtp4Y4xC63soeU-D4Qqf_Jnq17rbeIO9MR2GD4Ru1R-aRXD2Dnzlq8)||2015|CIKM|| 56 | |Multi-view learning with incomplete views||2015|IEEE TIP| 57 | |[Online Multi-view Clustering with Incomplete Views](https://www.cs.uic.edu/~wshao/files/bigdata2016_paper.pdf)|OMVC|2016|IEEE International Conference on Big Data|[code](https://github.com/software-shao/online-multiview-clustering-with-incomplete-view)| 58 | |[Incomplete multi-modal visual data grouping](https://www.ijcai.org/Proceedings/16/Papers/341.pdf)|IMG|2016|IJCAI|[code](https://github.com/hdzhao/IMG)| 59 | |Unified subspace learning for incomplete and unlabeled multi-view data||2017|Pattern Recognition|| 60 | |[Incomplete multi-view clustering via graph regularized matrix factorization](https://openaccess.thecvf.com/content_ECCVW_2018/papers/11132/Wen_Incomplete_Multi-view_Clustering_via_Graph_Regularized_Matrix_Factorization_ECCVW_2018_paper.pdf)|IMC_GRMF|2018|ECCV|[code](https://drive.google.com/file/d/14QgLE8qc2sRum4w7Qk-0qRhGdwr2OZAi/view)| 61 | |[Partial multi-view subspace clustering](https://dl.acm.org/doi/10.1145/3240508.3240679)||2018|ACM MM|| 62 | |[Doubly aligned incomplete multi-view clustering](https://www.ijcai.org/proceedings/2018/0313.pdf)|DAIMC|2018|IJCAI|[code](https://github.com/DarrenZZhang/Survey_IMC/tree/main/DAIMC)| 63 | |[Joint embedding learning and low-rank approximation: A framework for incomplete multiview learning](https://arxiv.org/pdf/1812.10012.pdf)||2019|IEEE TCYB|| 64 | |[One-pass incomplete multi-view clustering](https://dl.acm.org/doi/pdf/10.1609/aaai.v33i01.33013838)|OPIMC|2019|AAAI|[code](https://github.com/DarrenZZhang/Survey_IMC/tree/main/OPIMC)| 65 | |[Unified embedding alignment with missing views inferring for incomplete multi-view clustering](https://dl.acm.org/doi/pdf/10.1609/aaai.v33i01.33015393)|UEAF|2019|AAAI|| 66 | |[ICMSC: Incomplete cross-modal subspace clustering](https://github.com/IMKBLE/iCmSC)||2020|IEEE TIP| 67 | |Generalized Incomplete Multi-view Clustering With Flexible Locality Structure Diffusion||2021|IEEE TCYB|| 68 | |Self-representation subspace clustering for incomplete multi-view data|IMSR|2022|ACM MM|[code](https://github.com/liujiyuan13/IMSR-code_release)| 69 | |Highly-efficient incomplete large-scale multi-view clustering with consensus bipartite graph||2022|CVPR|| 70 | |High-order correlation preserved incomplete multi-view subspace clustering||2022|IEEE TIP|| 71 | |[Localized Sparse Incomplete Multi-view Clustering](https://arxiv.org/pdf/2208.02998.pdf)||2022|IEEE TMM|| 72 | |Incomplete multi-view clustering with cosine similarity||2022|Pattern Recognition|| 73 | 74 | ## Graph IMC 75 | |Paper|Abbreviation|Year|Publish|Code| 76 | | :-----| :------: | :------: | :------: | :------: | 77 | |[Spectral perturbation meets incomplete multi-view data](https://www.ijcai.org/proceedings/2019/0510.pdf)|PIC|2019|IJCAI|[code](https://github.com/cshaowang/pic)| 78 | |[A Survey on Incomplete Multiview Clustering](https://www.ijcai.org/Proceedings/2019/0623.pdf)||2019|IJCAI|| 79 | |Anchors bring ease: An embarrassingly simple approach to partial multi-view clustering||2019|AAAI|| 80 | |Adaptive graph completion based incomplete multi-view clustering||2020|IEEE TMM|| 81 | |[Incomplete Multiview Spectral Clustering with Adaptive Graph Learning](http://www.yongxu.org/paper/FINALVERSION.pdf)|IMSC_AGL|2020|IEEE TCYB|[code](https://drive.google.com/file/d/1gz6oBXt1qxi1Hdz9jEn6Q42xU75dnubE/view)| 82 | |A novel consensus learning approach to incomplete multi-view clustering||2021|Pattern Recognition|| 83 | |Incomplete multi-view clustering with joint partition and graph learning||2021|IEEE TKDE|| 84 | |Incomplete multi-view clustering with reconstructed views||2021|IEEE TKDE|| 85 | |Consensus guided incomplete multi-view spectral clustering||2021|Neural Networks|| 86 | |Refining Graph Structure for Incomplete Multi-View Clustering||2022|IEEE TNNLS|| 87 | |Auto-weighted sample-level fusion with anchors for incomplete multi-view clustering||2022|Pattern Recognition|| 88 | |Structured anchor-inferred graph learning for universal incomplete multi-view clustering||2022|World Wide Web|| 89 | |Incomplete Multi-view Clustering with Sample-level Auto-weighted Graph Fusion||2022|IEEE TKDE|| 90 | 91 | 92 | ## Tensor IMC 93 | |Paper|Abbreviation|Year|Publish|Code| 94 | | :-----| :------: | :------: | :------: | :------: | 95 | |Unified tensor framework for incomplete multi-view clustering and missing-view inferring||2021|AAAI| 96 | |Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data||2021|ICME| 97 | |Incomplete Multi-View Subspace Clustering with Low-Rank Tensor||2021|ICASSP| 98 | 99 | ## Deep IMC 100 | |Paper|Abbreviation|Year|Publish|Code| 101 | | :-----| :------: | :------: | :------: | :------: | 102 | |Incomplete multi-view clustering via deep semantic mapping||2018|Neurocomputing|| 103 | |[Partial Multi-view Clustering via Consistent GAN](https://ieeexplore.ieee.org/abstract/document/8594983/)||2018|ICDM||[code](https://github.com/IMKBLE/PVC-GAN)| 104 | |[Adversarial Incomplete Multi-view Clustering](https://www.ijcai.org/proceedings/2019/0546.pdf)|AIMC|2019|IJCAI|| 105 | |CPM-Nets: Cross partial multi-view networks||2019|NeurIPS|| 106 | |Deep incomplete multi-view multiple clusterings||2020|ICDM|| 107 | |[CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network](https://drive.google.com/file/d/1k6M4kw1gKrjAyLdVpiV8wf7rClt_8W3Q/view)|CDIMC-net|2020|IJCAI|[code](https://drive.google.com/file/d/1oOAWuRBicme0M8YTm1R3Hg8HQ2ydwzfM/view)| 108 | |[Dimc-net: Deep incomplete multi-view clustering network](https://dl.acm.org/doi/pdf/10.1145/3394171.3413807)|DIMC-net|2020|ACM MM|| 109 | |Structural Deep Incomplete Multi-view Clustering Network||2021|CIKM|| 110 | |[Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data](https://www.ijcai.org/proceedings/2021/0445.pdf)|CASEN|2021|IJCAI|| 111 | Generative partial multi-view clustering with adaptive fusion and cycle consistency||2021|IEEE TIP|| 112 | |[COMPLETER: Incomplete multi-view clustering via contrastive prediction](https://openaccess.thecvf.com/content/CVPR2021/papers/Lin_COMPLETER_Incomplete_Multi-View_Clustering_via_Contrastive_Prediction_CVPR_2021_paper.pdf)|COMPLETER|2021|CVPR|[code](https://github.com/XLearning-SCU/2021-CVPR-Completer)| 113 | |[Incomplete multi-view clustering via cross-view relation transfer](https://arxiv.org/pdf/2112.00739.pdf)||2022|IEEE TCSVT|| 114 | |[Robust Diversified Graph Contrastive Network for Incomplete Multi-view Clustering](https://dl.acm.org/doi/pdf/10.1145/3503161.3547894?casa_token=n8zDt6DzIqsAAAAA:fvPNViJhY4psiEbsATlDAtoCbGc3akUpY2UPvTX1X8rdepg-PQlJ4M1ja1gqydqfei11orp_JYVz8CA)||2022|ACM MM|| 115 | |Group Correspondence: A Statistical Perspective for Incomplete Multi-View Clustering Augmentation||2022|ICME|| 116 | |Deep Incomplete Multi-view Clustering via Mining Cluster Complementarity|DIMVC|2022|AAAI|[TensorFlow](https://github.com/SubmissionsIn/DIMVC)| 117 | |Robust multi-view clustering with incomplete information|SURE|2022|IEEE TPAMI|[PyTorch](https://github.com/XLearning-SCU/2022-TPAMI-SURE)| 118 | |[Dual contrastive prediction for incomplete multi-view representation learning](http://pengxi.me/wp-content/uploads/2022/08/DCP.pdf)|DCP|2022|IEEE TPAMI|[code](https://github.com/XLearning-SCU/2022-TPAMI-DCP/tree/d4eae074a2b420e6d28f04cc68b769db07b814bc)| 119 | |Graph Contrastive Partial Multi-View Clustering|AGCL|2022|IEEE TMM|[code](https://github.com/wangemm/AGCL-TMM-2022)| 120 | |[Deep safe incomplete multi-view clustering: Theorem and algorithm](https://proceedings.mlr.press/v162/tang22c/tang22c.pdf)|DSIMVC|2022|ICML|[code](https://github.com/Gasteinh/DSIMVC)| 121 | 122 | 123 | 124 | 125 | --- 126 | 127 | ###### TIPS 128 | - If you find this repository useful to your research or work, it is really appreciate to star this repository. 129 | - We are looking forward to any comments or discussions or contributions on this topic. :) --------------------------------------------------------------------------------