scholarly journals Multi-View Saliency-Guided Clustering for Image Cosegmentation

2019 ◽  
Vol 28 (9) ◽  
pp. 4634-4645 ◽  
Author(s):  
Zhiqiang Tao ◽  
Hongfu Liu ◽  
Huazhu Fu ◽  
Yun Fu
Keyword(s):  
Guided Clustering

Semantics-Guided Clustering of Heterogeneous XML Schemas

2007 ◽  
pp. 39-81 ◽  
Author(s):  
Pasquale De Meo ◽  
Giovanni Quattrone ◽  
Giorgio Terracina ◽  
Domenico Ursino
Keyword(s):  
Guided Clustering

scholarly journals Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation

2020 ◽  
Vol 34 (04) ◽  
pp. 3553-3560 ◽  
Author(s):  
Ze-Sen Chen ◽  
Xuan Wu ◽  
Qing-Guo Chen ◽  
Yao Hu ◽  
Min-Ling Zhang
Keyword(s):  
Predictive Model ◽  
Clustering Analysis ◽  
Experimental Studies ◽  
Ground Truth ◽  
Two Stage ◽  
Feature Vectors ◽  
Similarity Graph ◽  
Training Examples ◽  
Guided Clustering

In multi-view multi-label learning (MVML), each training example is represented by different feature vectors and associated with multiple labels simultaneously. Nonetheless, the labeling quality of training examples is tend to be affected by annotation noises. In this paper, the problem of multi-view partial multi-label learning (MVPML) is studied, where the set of associated labels are assumed to be candidate ones and only partially valid. To solve the MVPML problem, a two-stage graph-based disambiguation approach is proposed. Firstly, the ground-truth labels of each training example are estimated by disambiguating the candidate labels with fused similarity graph. After that, the predictive model for each label is learned from embedding features generated from disambiguation-guided clustering analysis. Extensive experimental studies clearly validate the effectiveness of the proposed approach in solving the MVPML problem.

scholarly journals Genomic data integration using guided clustering

2011 ◽  
Vol 27 (16) ◽  
pp. 2231-2238 ◽  
Author(s):  
Matthias Maneck ◽  
Alexandra Schrader ◽  
Dieter Kube ◽  
Rainer Spang
Keyword(s):  
Data Integration ◽  
Genomic Data ◽  
Genomic Data Integration ◽  
Guided Clustering

scholarly journals Microarray data mining using landmark gene-guided clustering

2008 ◽  
Vol 9 (1) ◽  
pp. 92 ◽  
Author(s):  
Pankaj Chopra ◽  
Jaewoo Kang ◽  
Jiong Yang ◽  
HyungJun Cho ◽  
Heenam Kim ◽  
...  
Keyword(s):  
Data Mining ◽  
Microarray Data ◽  
Guided Clustering
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