caa a22 4500 445348879 CHVBK 20180317142837.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s11192-011-0348-3 doi (NATIONALLICENCE)springer-10.1007/s11192-011-0348-3 Hybrid clustering of multi-view data via Tucker-2 model and its application [Elektronische Daten] [Xinhai Liu, Wolfgang Glänzel, Bart Moor] 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. Akadémiai Kiadó, Budapest, Hungary, 2011 Hybrid clustering nationallicence Multi-view data nationallicence Text mining nationallicence Bibliometric analysis nationallicence Liu Xinhai College of Information Science and Engineering & ERCMAMT, Wuhan University of Science and Technology, Heping Road No. 947, 30081, Wuhan, Hubei, China aut Glänzel Wolfgang Center for R&D Monitoring (ECOOM), Department of MSI, Katholieke Universiteit Leuven, Waaistraat 6, 3000, Leuven, Belgium aut Moor Bart Department of Electronic Engineering ESAT-SCD, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001, Leuven, Belgium aut Scientometrics Springer Netherlands 88/3(2011-09-01), 819-839 0138-9130 88:3<819 2011 88 11192 https://doi.org/10.1007/s11192-011-0348-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11192-011-0348-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Xinhai College of Information Science and Engineering & ERCMAMT, Wuhan University of Science and Technology, Heping Road No. 947, 30081, Wuhan, Hubei, China aut NATIONALLICENCE 700 1- Glänzel Wolfgang Center for R&D Monitoring (ECOOM), Department of MSI, Katholieke Universiteit Leuven, Waaistraat 6, 3000, Leuven, Belgium aut NATIONALLICENCE 700 1- Moor Bart Department of Electronic Engineering ESAT-SCD, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001, Leuven, Belgium aut NATIONALLICENCE 773 0- Scientometrics Springer Netherlands 88/3(2011-09-01), 819-839 0138-9130 88:3<819 2011 88 11192 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer