Pinned Repositories
AEVC
[CVPR 2024] Code of "Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering"
Cppcheck_improvement
EOMSC-CA
[AAAI 2022] Code of "Efficient One-pass Multi-view Subspace Clustering with Consensus Anchors"
FIMVC-VIA
[IEEE TNNLS 2022] Code of "Fast Incomplete Multi-view Clustering with View-independent Anchors"
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
MKKM-IK
Multiple Kernel k-means with Incomplete Kernels
MVC-WA
[AAS 2022] Code of "Multi-view Clustering with Weighted Anchors"
ONKC
Optimal Neighborhood Kernel Clustering with Multiple Kernels
RCAGL
[IEEE TKDE 2024] Code of "Robust and Consistent Anchor Graph Learning for Multi-view Clustering"
SCSL
[AAAI 2024] Code of "Sample-level Cross-view Similarity Learning for Incomplete Multi-view Clustering"
Tracesource's Repositories
Tracesource/EOMSC-CA
[AAAI 2022] Code of "Efficient One-pass Multi-view Subspace Clustering with Consensus Anchors"
Tracesource/FIMVC-VIA
[IEEE TNNLS 2022] Code of "Fast Incomplete Multi-view Clustering with View-independent Anchors"
Tracesource/SCSL
[AAAI 2024] Code of "Sample-level Cross-view Similarity Learning for Incomplete Multi-view Clustering"
Tracesource/RCAGL
[IEEE TKDE 2024] Code of "Robust and Consistent Anchor Graph Learning for Multi-view Clustering"
Tracesource/MKKM-IK
Multiple Kernel k-means with Incomplete Kernels
Tracesource/AEVC
[CVPR 2024] Code of "Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering"
Tracesource/MVC-WA
[AAS 2022] Code of "Multi-view Clustering with Weighted Anchors"
Tracesource/ONKC
Optimal Neighborhood Kernel Clustering with Multiple Kernels
Tracesource/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
Tracesource/Cppcheck_improvement
Tracesource/DCEC
Tracesource/DEC-keras
Keras implementation for Deep Embedding Clustering (DEC)
Tracesource/EMVGC-LG
ACM MM 2023 Efficient Multi-View Graph Clustering with Local and Global Structure Preservation
Tracesource/large_scale_multi-view_clustering_datasets
Some large-scale MVC benchmark datases
Tracesource/PSIMVC-PG
Tracesource/tomorrow-theme
Tomorrow Theme the precursor to Base16 Theme
Tracesource/Tracesource.github.io
My Homepage
Tracesource/Awesome-Knowledge-Graph-Reasoning
AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets
Tracesource/awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
Tracesource/DEC-pytorch
Tracesource/tensorflow-vgg
VGG19 and VGG16 on Tensorflow
Tracesource/torch_DCEC
Pytorch Deep Clustering with Convolutional Autoencoders implementation
Tracesource/zotero-arxiv-daily
Recommend new arxiv papers of your interest daily according to your Zotero libarary.