Results 181 to 190 of about 9,565 (204)

Information Theoretic Subspace Clustering

IEEE Transactions on Neural Networks and Learning Systems, 2016
This paper addresses the problem of grouping the data points sampled from a union of multiple subspaces in the presence of outliers. Information theoretic objective functions are proposed to combine structured low-rank representations (LRRs) to capture the global structure of data and information theoretic measures to handle outliers.
Ran He 0001, Liang Wang 0001, Zhenan Sun, Yingya Zhang, Bo Li 0005   +4 more
openaire   +2 more sources

Agent-Based Subspace Clustering

2011
This paper presents an agent-based algorithm for discovering subspace clusters in high dimensional data. Each data object is represented by an agent, and the agents move from one local environment to another to find optimal clusters in subspaces. Heuristic rules and objective functions are defined to guide the movements of agents, so that similar ...
Chao Luo, Yanchang Zhao, Dan Luo 0001, Chengqi Zhang, Wei Cao   +4 more
openaire   +1 more source

Consensus Subspace Clustering

2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021
Nathan Thom, Hung Nguyen 0005, Emily M. Hand   +2 more
openaire   +1 more source

Subspace Clustering Based on Compressibility

2002
In this paper, we propose a subspace clustering method based on compressibility. It is widely accepted that compressibility is deeply related to inductive learning. We have come to believe that compressibility is promising as an evaluation criterion in subspace clustering, and propose SUBCCOM in order to verify this belief.
Masaki Narahashi, Einoshin Suzuki
openaire   +1 more source

Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering

Information Fusion, 2023
Dong Huang, Guang-Yu Zhang, Chang-Dong Wang   +2 more
exaly  

Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image

IEEE Transactions on Geoscience and Remote Sensing, 2021
Yaoming Cai, Zijia Zhang, Zhihua Cai
exaly  

Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance

IEEE Transactions on Image Processing, 2022
Siwei Wang, Xinwang Liu, Xinzhong Zhu
exaly  

Generalized Latent Multi-View Subspace Clustering

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Changqing Zhang, Huazhu Fu, Qinghua Hu   +2 more
exaly  

Enforced block diagonal subspace clustering with closed form solution

Pattern Recognition, 2022
Yalan Qin, Hanzhou Wu, Jian Zhao
exaly  

Beyond linear subspace clustering: A comparative study of nonlinear manifold clustering algorithms

Computer Science Review, 2021
Maryam Abdolali, Nicolas Gillis
exaly