Distributed proximity-based granular clustering: towards a development of global structural relationships in data
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| 008 | 210128e20151001xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1439-x |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1439-x | ||
| 245 | 0 | 0 | |a Distributed proximity-based granular clustering: towards a development of global structural relationships in data |h [Elektronische Daten] |c [Witold Pedrycz, Rami Al-Hmouz, Ali Morfeq, Abdullah Balamash] |
| 520 | 3 | |a The study is focused on a development of a global structure in a family of distributed data realized on a basis of locally discovered structures. The local structures are revealed by running fuzzy clustering (Fuzzy C-Means), whereas building a global view is realized by forming global proximity matrices on a basis of the local proximity matrices implied by the partition matrices formed for the individual data sets. To capture the diversity of local structures, a global perspective at the structure of the data is captured in terms of a granular proximity matrix, which is built by invoking a principle of justifiable granularity with regard to the aggregation of individual proximity matrices. The three main scenarios are investigated: (a) designing a global structure among the data through building a granular proximity matrix, (b) refining a local structure (expressed in the form of a partition matrix) by engaging structural knowledge conveyed at the higher level of the hierarchy and provided in the form of the granular proximity matrix, (c) forming a consensus-building scheme and updating all local structures with the aid of the proximity dependences available at the upper layer of the hierarchy. While the first scenario delivers a passive approach to the development of the global structure, the two others are of an active nature by facilitating a structural feedback between the local and global level of the hierarchy of the developed structures. The study is illustrated through a series of experiments carried out for synthetic and publicly available data sets. | |
| 540 | |a The Author(s), 2014 | ||
| 690 | 7 | |a Fuzzy clustering |2 nationallicence | |
| 690 | 7 | |a Proximity matrix |2 nationallicence | |
| 690 | 7 | |a Global structure |2 nationallicence | |
| 690 | 7 | |a Granular proximity |2 nationallicence | |
| 690 | 7 | |a Granular clustering |2 nationallicence | |
| 690 | 7 | |a Distributed data |2 nationallicence | |
| 690 | 7 | |a Consensus formation |2 nationallicence | |
| 700 | 1 | |a Pedrycz |D Witold |u Department of Electrical and Computer Engineering, University of Alberta, T6R 2V4, Edmonton, AB, Canada |4 aut | |
| 700 | 1 | |a Al-Hmouz |D Rami |u Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, 21589, Jeddah, Saudi Arabia |4 aut | |
| 700 | 1 | |a Morfeq |D Ali |u Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, 21589, Jeddah, Saudi Arabia |4 aut | |
| 700 | 1 | |a Balamash |D Abdullah |u Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, 21589, Jeddah, Saudi Arabia |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/10(2015-10-01), 2751-2767 |x 1432-7643 |q 19:10<2751 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1439-x |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1439-x |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Pedrycz |D Witold |u Department of Electrical and Computer Engineering, University of Alberta, T6R 2V4, Edmonton, AB, Canada |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Al-Hmouz |D Rami |u Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, 21589, Jeddah, Saudi Arabia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Morfeq |D Ali |u Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, 21589, Jeddah, Saudi Arabia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Balamash |D Abdullah |u Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, 21589, Jeddah, Saudi Arabia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/10(2015-10-01), 2751-2767 |x 1432-7643 |q 19:10<2751 |1 2015 |2 19 |o 500 | ||