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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bargiela, A. Pedrycz, W. |
| Copyright Year | 2002 |
| Description | Author affiliation: Dept. of Comput. & Math., Nottingham Trent Univ., UK (Bargiela, A.) |
| Abstract | We introduce a model of granular data emerging through a summarization and processing of numeric data. It supports data analysis and casts it in the setting of data mining. The structure of data is revealed through the FCM equipped with the Tchebyschev (l/sub /spl infin//) metric. The study offers a novel contribution to a gradient-based learning of the prototypes developed in the l/sub /spl infin//-based data space. The l/sub /spl infin// metric promotes a development of easily interpretable information granules, namely hyperboxes. A detailed discussion of their geometry is provided. In particular, we discuss a deformation effect of the hyperbox-shape of granules due to an interaction between the granules. We also show how the clustering gives rise to a two-level topology of information granules. A core part of the topology comes in the form of hyperbox information granules. A residual structure is expressed through detailed, yet difficult to interpret, membership grades. Illustrative examples including synthetic data are studied. |
| Sponsorship | IEEE IEEE Neural Networks Soc |
| Starting Page | 578 |
| Ending Page | 583 |
| File Size | 341348 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780372808 |
| DOI | 10.1109/FUZZ.2002.1005056 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-05-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Prototypes Data mining Data analysis Information geometry Mathematical model Shape Topology Mathematics Data engineering Design engineering |
| Content Type | Text |
| Resource Type | Article |
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