Hybrid clustering of multi-view data via Tucker-2 model and its application

Authors:
Xinhai Liu;Wolfgang Glänzel;Bart De Moor
Affiliations:
College of Information Science and Engineering & ERCMAMT, Wuhan University of Science and Technology, Wuhan, China 30081 and Department of Electronic Engineering ESAT-SCD, Katholieke Universiteit ...;Center for R&D Monitoring (ECOOM), Department of MSI, Katholieke Universiteit Leuven, Leuven, Belgium 3000 and IRPS, Hungarian Academy of Sciences, Budapest, Hungry;Department of Electronic Engineering ESAT-SCD, Katholieke Universiteit Leuven, Leuven, Belgium 3001
Venue:
Scientometrics
Year:
2011

Citing 21
Cited 0

Silhouettes: a graphical aid to the interpretation and validation of cluster analysis

Journal of Computational and Applied Mathematics
Algorithms for clustering data

Algorithms for clustering data
Independent component analysis, a new concept?

Signal Processing - Special issue on higher order statistics
Clustering hypertext with applications to web searching

HYPERTEXT '00 Proceedings of the eleventh ACM on Hypertext and hypermedia
Normalized Cuts and Image Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multilinear Singular Value Decomposition

SIAM Journal on Matrix Analysis and Applications
On the Best Rank-1 and Rank-(R1,R2,. . .,RN) Approximation of Higher-Order Tensors

SIAM Journal on Matrix Analysis and Applications
Composite Kernels for Hypertext Categorisation

ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Cluster ensembles --- a knowledge reuse framework for combining multiple partitions

The Journal of Machine Learning Research
Multi-View Clustering

ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Beyond streams and graphs: dynamic tensor analysis

Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Handwritten digit classification using higher order singular value decomposition

Pattern Recognition
A tutorial on spectral clustering

Statistics and Computing
Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Hybrid clustering for validation and improvement of subject-classification schemes

Information Processing and Management: an International Journal
Tensor Decompositions and Applications

SIAM Review
Clustering with Multiple Graphs

ICDM '09 Proceedings of the 2009 Ninth IEEE International Conference on Data Mining
Combining full text and bibliometric information in mapping scientific disciplines

Information Processing and Management: an International Journal - Special issue: Infometrics
Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database

Journal of the American Society for Information Science and Technology
Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?

Journal of the American Society for Information Science and Technology
Web document clustering using hyperlink structures

Computational Statistics & Data Analysis

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the modern technology fast developing, most of entities can be observed by different perspectives. These multiple view information allows us to find a better pattern as long as we integrate them in an appropriate way. So clustering by integrating multi-view representations that describe the same class of entities has become a crucial issue for knowledge discovering. We integrate multi-view data by a tensor model and present a hybrid clustering method based on Tucker-2 model, which can be regarded as an extension of spectral clustering. We apply our hybrid clustering method to scientific publication analysis by integrating citation-link and lexical content. Clustering experiments are conducted on a large-scale journal set retrieved from the Web of Science (WoS) database. Several relevant hybrid clustering methods are cross compared with our method. The analysis of clustering results demonstrate the effectiveness of the proposed algorithm. Furthermore, we provide a cognitive analysis of the clustering results as well as the visualization as a mapping of the journal set.