| 書目名稱 | Innovations in Fuzzy Clustering |
| 副標(biāo)題 | Theory and Applicati |
| 編輯 | Mika Sato-Ilic,Lakhmi C. Jain |
| 視頻video | http://file.papertrans.cn/468/467112/467112.mp4 |
| 概述 | Latest research on fuzzy clustering and applications |
| 叢書名稱 | Studies in Fuzziness and Soft Computing |
| 圖書封面 |  |
| 描述 | Clustering has been around for many decades and located itself in a uniquepositionasafundamentalconceptualandalgorithmiclandmark of data analysis. Almost since the very inception of fuzzy sets, the role and potential of these information granules in revealing and describing structureindatawasfullyacknowledgedandappreciated.Asamatter of fact, with the rapid growth of volumes of digital information, the role of clustering becomes even more visible and critical. Furthermore given the anticipated human centricity of the majority of artifacts of digitaleraandacontinuousbuildupofmountainsofdata,onebecomes fully cognizant of the growing role and an enormous potential of fuzzy sets and granular computing in the design of intelligent systems. In therecentyearsclusteringhasundergoneasubstantialmetamorphosis. Frombeinganexclusivelydata drivenpursuit,ithastransformeditself into a vehicle whose data centricity has been substantially augmented by the incorporation of domain knowledge thus giving rise to the next generation of knowledge-oriented and collaborative clustering. Interestingly enough, fuzzy clustering exhibits a dominant role in many developments of the technology of fuzzy sets includ |
| 出版日期 | Book 2006 |
| 關(guān)鍵詞 | Clustering Techniques; Computer; Fuzzy; Fuzzy Clustering; Pattern Recognition; Regression; calculus; cognit |
| 版次 | 1 |
| doi | https://doi.org/10.1007/3-540-34357-1 |
| isbn_softcover | 978-3-642-07072-3 |
| isbn_ebook | 978-3-540-34357-8Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2006 |
|Archiver|手機(jī)版|小黑屋|
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