Advanced Studies in Classification and Data Science. 1st ed. 2020

フォーマット:

電子ブック

責任表示:

edited by Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi

言語:

英語

出版情報:

Singapore : Springer Singapore : Imprint: Springer, 2020

形態:

XI, 524 p. 121 illus., 64 illus. in color : online resource

著者名:

Imaizumi, Tadashi

Okada, Akinori

Miyamoto, Sadaaki

Sakaori, Fumitake

Yamamoto, Yoshiro

Vichi, Maurizio

SpringerLink (Online service)

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シリーズ名:

Studies in Classification, Data Analysis, and Knowledge Organization ;

目次情報:

Chapter 1. Multilevel model-based clustering: A new proposal of maximum-a-posteriori assignment
Chapter 2. Multi-citeria classifications in regional development modelling
Chapter 3. Non-parametric latent modeling and network clustering
Chapter 4. Efficient, Geometrically-adaptive Techniques for Multiscale Gaussian-kernel SVM Classification
Chapter 5. Random forests followed by computed ABC analysis as a feature selection method for machine-learning in biomedical data
Chapter 6. Non-Hierarchical Clustering for Large Data without Recalculating Cluster Center
Chapter 7. Supervised Nested Algorithm for Classification based on K-means
Chapter 8. Using Classification of Regions Based on the Complexity of the Global Progress Indices for Supporting Development in Competitiveness
Chapter 9. Estimation Methods Based on Weighting Clusters
Chapter 10. Five Strategies for Accommodating Overdispersion in Simple Correspondence Analysis
Chapter 11. From Joint Graphical Display to Bi-Modal Clustering: [2] Dual Space Versus Total Space
Chapter 12. Linear Time Visualization and Search in Big Data using Pixellated Factor Space Mapping
Chapter 13. From Joint Graphical Display to Bi-Modal Clustering: [1] A Giant Leap in Quantication Theory
Chapter 14. External Logistic Biplots for Mixed Types of Data
Chapter 15. Functional clustering approach for analysis of concentration
Chapter 16. Generalized additive models for the detection of copy number variations (CNVs) using multi gene panel sequencing data
Chapter 17. Variable selection for classification of multivariate functional data
Chapter 18. Initial value selection for the alternating least squares algorithm
Chapter 19. Inference for General MANOVA Based on ANOVA-Type Statistic
Chapter 20. How To Cross the River? - New ‘Distance’Measures
Chapter 21. New Statistical Matching Method Using Multinomial Logistic Regression Model
Chapter 22. Constructing graphical models for multi-source data: Sparse Network And Component analysis
Chapter 23. Understanding Malvestuto’s normalized mutual information
Chapter 24. Understanding the Rand index
Chapter 25. Layered Multivariate Regression with Its Applications
Chapter 26. An exploratory study on the clumpiness measure of intertransaction times: how is it useful for customer relationship management?
Chapter 27. Data Quality Management of Chain Stores based on Outlier Detection
Chapter 28. Analysis of expenditure pattens of virtual marriage households consisting of working couples synthesized by statistical matching method q
Chapter 29. The Effects of Natural Disasters on Household Income and Poverty in Rural Vietnam: An Analysis Using the Vietnam Household Living Standards Survey
Chapter 30. Generalizability of relationship between number of tweets about and sales of new beverage products
Chapter 31. Cluster Distance-Based Regression
Chapter 32. Bayesian network analysis of fashion behaviour
Chapter 33. Determining the Similarity Index in Electoral Behavior Analysis: An Issue Voting Behavioral:Mapping
Chapter 34. Well-Being Measures
Chapter 35. The Relationship between Household Assets and Choice to Work: Evidence from Japanese Official Microdata
Chapter 36. Visualization and Spatial Statistical Analysis for Vietnam Household Living Standard Survey
Chapter 37. Changes in the Gendered Division of Labor and Women’s Economic Contributions within Japanese Couples
Chapter 38. Employment structures vs. educational capital in the European Union regions
Chapter 39. The IPUMS Approach to Harmonizing the World’s Population Census Data
Chapter 40. A Supervised Multiclass Classifieras an Autocoding System for the Family Income and Expenditure Survey

Chapter 1. Multilevel model-based clustering: A new proposal of maximum-a-posteriori assignment
Chapter 2. Multi-citeria classifications in regional development modelling
Chapter 3. Non-parametric latent modeling and network clustering
Chapter 4. Efficient, Geometrically-adaptive Techniques for Multiscale Gaussian-kernel SVM Classification
Chapter 5. Random forests followed by computed ABC analysis as a feature selection method for machine-learning in biomedical data
Chapter 6. Non-Hierarchical Clustering for Large Data without Recalculating Cluster Center

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書誌ID:

IT00015773

ISBN:

9789811533112 [9811533113]      
9789811533129 [9811533121]