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Titlebook: COMPSTAT 2006 - Proceedings in Computational Statistics; 17th Symposium Held Alfredo Rizzi,Maurizio Vichi Conference proceedings 2006 Phys

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發(fā)表于 2025-3-21 17:47:29 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱COMPSTAT 2006 - Proceedings in Computational Statistics
副標題17th Symposium Held
編輯Alfredo Rizzi,Maurizio Vichi
視頻videohttp://file.papertrans.cn/233/232014/232014.mp4
圖書封面Titlebook: COMPSTAT 2006 - Proceedings in Computational Statistics; 17th Symposium Held  Alfredo Rizzi,Maurizio Vichi Conference proceedings 2006 Phys
描述International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section of the International Statistical Institute. The objectives of the Association are to foster world-wide interest in e?ective statistical computing and to - change technical knowledge through international contacts and meetings - tween statisticians, computing professionals, organizations, institutions, g- ernments and the general public. The IASC organises its own Conferences, IASC World Conferences, and COMPSTAT in Europe. The 17th Conference of ERS-IASC, the biennial meeting of European - gional Section of the IASC was held in Rome August 28 - September 1, 2006. This conference took place in Rome exactly 20 years after the 7th COMP- STAT symposium which was held in Rome, in 1986. Previous COMPSTAT conferences were held in: Vienna (Austria, 1974); West-Berlin (Germany, 1976); Leiden (The Netherlands, 1978); Edimbourgh (UK, 1980); Toulouse (France, 1982); Prague (Czechoslovakia, 1984); Rome (Italy, 1986); Copenhagen (Denmark, 1988); Dubrovnik (Yugoslavia, 1990); Neuch? atel (Switzerland, 1992); Vienna (Austria,1994); Barcelona (Spain, 1996);Bristol(UK,1998)
出版日期Conference proceedings 2006
關鍵詞Cluster analysis; Estimator; Latent Class Analysis; Linear discriminant analysis; Parametric statistics;
版次1
doihttps://doi.org/10.1007/978-3-7908-1709-6
isbn_softcover978-3-7908-1708-9
isbn_ebook978-3-7908-1709-6
copyrightPhysica-Verlag Heidelberg 2006
The information of publication is updating

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Fuzzy ,-medoids clustering models for fuzzy multivariate time trajectoriescharacterized by observed typical LR fuzzy time trajectories, medoids, belonging to the data set at hand. Two different clustering models are proposed according to the cross-sectional or longitudinal aspects of the time trajectories. An application to air pollution data is carried out.
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Non-rigid image registration using mutual informationriability is an important research topic in medical image analysis. Recent research in the field has focused on extending the mutual information based registration criterion to non-rigid matching, which is complicated by the statistical nature of the criterion and by the local impact of the non-rigi
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3 dimensional parallel coordinates plot and its use for variable selectionmong many variables intuitively. We also illustrate that 3D PCP can be used for variable selection. In 2D PCP, we often use a brushing operation to sweep from small values to large values of one reference variable. This operation makes the relationships among the reference variable and other variabl
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