Results 61 to 70 of about 9,565 (204)

Fuzzy Subspace Clustering [PDF]

, 2009
In clustering we often face the situation that only a subset of the available attributes is relevant for forming clusters, even though this may not be known beforehand. In such cases it is desirable to have a clustering algorithm that automatically weights attributes or even selects a proper subset.
openaire   +1 more source

Subspace Clustering through Sub-Clusters

CoRR, 2018
The problem of dimension reduction is of increasing importance in modern data analysis. In this paper, we consider modeling the collection of points in a high dimensional space as a union of low dimensional subspaces. In particular we propose a highly scalable sampling based algorithm that clusters the entire data via first spectral clustering of a ...
Weiwei Li, Jan Hannig, Sayan Mukherjee 0001   +2 more
openaire   +4 more sources

Partial Multi-view Subspace Clustering

, 2018
For many real-world multimedia applications, data are often described by multiple views. Therefore, multi-view learning researches are of great significance. Traditional multi-view clustering methods assume that each view has complete data.
Luo, Xiangyang, Zheng, Xin, Xu, Nan, Guo, Yanqing, Wang, Qianyu   +4 more
core   +1 more source

Multi-view clustering via simultaneously learning shared subspace and affinity matrix

International Journal of Advanced Robotic Systems, 2017
Due to the existence of multiple views in many real-world data sets, multi-view clustering is increasingly popular. Many approaches have been investigated, among which the subspace clustering methods finding the underlying subspaces of data have been ...
Nan Xu, Yanqing Guo, Jiujun Wang, Xiangyang Luo, Xiangwei Kong   +4 more
doaj   +1 more source

Coping With New Challengens for Density-Based Clustering [PDF]

, 2004
Knowledge Discovery in Databases (KDD) is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data.
Kröger, Peer
core  

Discriminative Semantic Subspace Analysis for Relevance Feedback

, 2016
Content-based image retrieval (CBIR) has attracted much attention during the past decades for its potential practical applications to image database management. A variety of relevance feedback (RF) schemes have been designed to bridge the gap between low-
Zhang, Lining, Lining Zhang, Shao, Ling, Shum, Hubert P. H., Ling Shao, Hubert P. H. Shum, Shum, Hubert   +6 more
core   +1 more source

Ordered Subspace Clustering for Complex Non-Rigid Motion by 3D Reconstruction

Applied Sciences, 2019
As a fundamental and challenging problem, non-rigid structure-from-motion (NRSfM) has attracted a large amount of research interest. It is worth mentioning that NRSfM has been applied to dynamic scene understanding and motion segmentation.
Weinan Du, Jinghua Li, Fei Wu, Yanfeng Sun, Yongli Hu   +4 more
doaj   +1 more source

Deep Subspace Clustering with Block Diagonal Constraint

Applied Sciences, 2020
The deep subspace clustering method, which adopts deep neural networks to learn a representation matrix for subspace clustering, has shown good performance.
Jing Liu, Yanfeng Sun, Yongli Hu
doaj   +1 more source

Subspace clustering via thresholding and spectral clustering [PDF]

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
ICASSP ...
Reinhard Heckel, Helmut Bölcskei
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Robust multiview subspace clustering method based on multi-kernel low-redundancy representation learning

Tongxin xuebao, 2021
Considering the impact of high dimensional data redundancy and noise interference on multiview subspace clustering, a robust multiview subspace clustering method based on multi-kernel low redundancy representation learning was proposed.Firstly, by ...
Ao LI, Zhuo WANG, Xiaoyang YU, Deyun CHEN, Yingtao ZHANG, Guanglu SUN   +5 more
doaj   +2 more sources