The contributions in this volume represent the latest research results in the field of Classification, Clustering, and Data Analysis. Besides the theoretical analysis, papers focus on various application fields as Archaeology, Astronomy, Bio-Sciences, Business, Electronic Data and Web, Finance and Insurance, Library Science and Linguistics, Marketing, Music Science, and Quality Assurance.
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First Sentence:
Mathematical considerations in music have a long tradition. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
discriminated texts, subset preselection, university enrollment flow, hierarchical mixture model, common object configuration, credit scoring data, kernel logistic regression, silhouette score, detector segmentations, raw basket, camera shot showing, sight reading task, online visibility, consensus clustering, trill speed, rebuilding permits, bootstrap solutions, stepwise linear discriminant analysis, turning point class, empirical correlation matrix, consensus partitions, synthetic put option, simplicial depth, adaptive conjoint analysis, risk budgeting Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Germany Abstract, Department of Statistics, University of Dortmund, Annals of Statistics, Morgan Kaufmann, Pareto Radius, Applied Statistics, Artificial Intelligence, Claus Weihs, Fachbereich Statistik, John Wiley, Journal of Classification, Monte Carlo, Journal of Marketing Research, Journal of the Royal Statistical Society, Computational Statistics, Austria Abstract, Large Document Sets, San Francisco, United States, Deutsche Forschungsgemeinschaft, European Union, Journal of the American Statistical Association, Management Science New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Mathematical considerations in music have a long tradition. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
discriminated texts, subset preselection, university enrollment flow, hierarchical mixture model, common object configuration, credit scoring data, kernel logistic regression, silhouette score, detector segmentations, raw basket, camera shot showing, sight reading task, online visibility, consensus clustering, trill speed, rebuilding permits, bootstrap solutions, stepwise linear discriminant analysis, turning point class, empirical correlation matrix, consensus partitions, synthetic put option, simplicial depth, adaptive conjoint analysis, risk budgeting Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Germany Abstract, Department of Statistics, University of Dortmund, Annals of Statistics, Morgan Kaufmann, Pareto Radius, Applied Statistics, Artificial Intelligence, Claus Weihs, Fachbereich Statistik, John Wiley, Journal of Classification, Monte Carlo, Journal of Marketing Research, Journal of the Royal Statistical Society, Computational Statistics, Austria Abstract, Large Document Sets, San Francisco, United States, Deutsche Forschungsgemeinschaft, European Union, Journal of the American Statistical Association, Management Science New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 100
books:
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- Data Analysis: Scientific Modeling and Practical Application (Studies in Classification, Data Analysis, and Knowledge Organization) by Wolfgang Gaul on 8 pages
- Statistical Learning Theory by Vladimir N. Vapnik on 4 pages
- The Nature of Statistical Learning Theory (Information Science and Statistics) by Vladimir Vapnik on page 108, page 303, and page 623
- The Analysis of Gene Expression Data by Giovanni Parmigiani on page 239, and page 385
- Exploratory Data Analysis in Empirical Research by Manfred Schwaiger in Front Matter, and page 316
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