Advanced Studies in Classification and Data Science. (2020)

• Record Type: Book
• Further Information: Note: Edited by Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi.
• Editors: Imaizumi, Tadashi; Okada, Akinori; Miyamoto, Sadaaki; Sakaori, Fumitake; Yamamoto, Yoshiro; Vichi, Maurizio
• Contents: 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 -- .
• Publisher Details: Singapore : Springer Singapore Imprint: Springer
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 519.5; Statistics; Mathematics; Visualization; Social sciences; Social sciences -- Data processing; Social sciences -- Computer programs; Motivation research (Marketing)
• Languages: English
• ISBNs: 9789811533112; 9811533113
• Related ISBNs: 9811533105; 9789811533105
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.