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Titlebook: Exploratory Data Analysis in Empirical Research; Proceedings of the 2 Manfred Schwaiger,Otto Opitz Conference proceedings 2003 Springer-Ver

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發(fā)表于 2025-3-21 20:04:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Exploratory Data Analysis in Empirical Research
副標(biāo)題Proceedings of the 2
編輯Manfred Schwaiger,Otto Opitz
視頻videohttp://file.papertrans.cn/321/320236/320236.mp4
概述Includes supplementary material:
叢書名稱Studies in Classification, Data Analysis, and Knowledge Organization
圖書封面Titlebook: Exploratory Data Analysis in Empirical Research; Proceedings of the 2 Manfred Schwaiger,Otto Opitz Conference proceedings 2003 Springer-Ver
描述Facing rapidly growing challenges in empirical research, this volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The interested reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.
出版日期Conference proceedings 2003
關(guān)鍵詞Cluster analysis; Estimator; Measure; Sage; Statistical Models; Time series; algorithms; best fit; buying; cl
版次1
doihttps://doi.org/10.1007/978-3-642-55721-7
isbn_softcover978-3-540-44183-0
isbn_ebook978-3-642-55721-7Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightSpringer-Verlag Berlin Heidelberg 2003
The information of publication is updating

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發(fā)表于 2025-3-21 23:33:38 | 只看該作者
Marriage and Late-Victorian Dramatistsiers and partitions the remaining . observations in . clusters. We also propose an algorithm that approximates this estimator. We study under which conditions this estimator is a maximum likelihood estimator.
板凳
發(fā)表于 2025-3-22 01:00:03 | 只看該作者
Green Thumbs of the Red Planet,ibe our newdeveloped visualization approaches and selected clustering techniques along with major concepts of the integration and parameterization of these methods. The resulting frameworks and its major features will be discussed.
地板
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Clustering in the Presence of Outliersiers and partitions the remaining . observations in . clusters. We also propose an algorithm that approximates this estimator. We study under which conditions this estimator is a maximum likelihood estimator.
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Manfred Schwaiger,Otto OpitzIncludes supplementary material:
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發(fā)表于 2025-3-23 08:57:42 | 只看該作者
Spacecraft Exploration of the Red Planet,In [.], pp. 44–45 the distance measure was proposed, which can be used for the ordinal data. In the paper the proposal of the general distance measure is given. This measure can be used for data measured in ratio, interval and ordinal scale. The proposal is based on the idea of the generalised correlation coefficient.
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