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Data Science, Classification, and Related Methods

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Cover of 'Data Science, Classification, and Related Methods'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Probabilistic Aspects in Classification
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    Chapter 2 Cluster Validation
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    Chapter 3 What is Data Science ? Fundamental Concepts and a Heuristic Example
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    Chapter 4 Fitting Graphs and Trees with Multidimensional Scaling Methods
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    Chapter 5 Classification and data analysis in finance
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    Chapter 6 How to validate phylogenetic trees? A stepwise procedure
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    Chapter 7 Some Trends in the Classification of Variables
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    Chapter 8 Convexity Methods in Classification
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    Chapter 9 How Many Clusters? An Investigation of Five Procedures for Detecting Nested Cluster Structure
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    Chapter 10 Partitional Cluster Analysis with Genetic Algorithms: Searching for the Number of Clusters
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    Chapter 11 Explanatory Variables in Classifications and the Detection of the Optimum Number of Clusters
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    Chapter 12 Random dendrograms for classifiability testing
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    Chapter 13 The L p -product of ultrametric spaces and the corresponding product of hierarchies
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    Chapter 14 Towards Comparison of Decomposable Systems
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    Chapter 15 Performance of Eight Dissimilarity Coefficients to Cluster a Compositional Data Set
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    Chapter 16 Consensus of Hierarchical Classifications
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    Chapter 17 On the Minimum Description Length (MDL) Principle for Hierarchical Classifications
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    Chapter 18 Consensus Methods for Pyramids and Other Hypergraphs
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    Chapter 19 On the Behavior of Splitting Criteria for Classification Trees
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    Chapter 20 Fitting Pre-specified Blockmodels
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    Chapter 21 Robust impurity measures in decision trees
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    Chapter 22 Induction of Decision Trees Based on the Rough Set Theory
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    Chapter 23 Visualizing Data in Tree-Structured Classification
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    Chapter 24 Adaptive Cluster Analysis Techniques — Software and Applications
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    Chapter 25 The Most Random Partition of a Finite Set and its Application to Classification
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    Chapter 26 A Mixture Model To Classify Individual Profiles Of Repeated Measurements
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    Chapter 27 Irregularly Spaced AR (ISAR) Models
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    Chapter 28 Two Types of Partial Least Squares Method in Linear Discriminant Analysis
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    Chapter 29 Resampling Methods for Error Rate Estimation in Discriminant Analysis
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    Chapter 30 A Short Overview of the Methods for Spatial Data Analysis
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    Chapter 31 Choice of Multiple Representative Signatures for On-line Signature Verification Using a Clustering Procedure
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    Chapter 32 Algorithms for L 1 and L p Fuzzy c-Means and Their Convergence
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    Chapter 33 General Approach to the Construction of Measures of Fuzziness of Fuzzy K-Partitions
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    Chapter 34 Additive Clustering Model and Its Generalization
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    Chapter 35 A Proposal of an Extended Model of ADCLUS Model
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    Chapter 36 Comparison of Pruning Algorithms in Neural Networks
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    Chapter 37 Classification Method by Using the Associative Memories in Cellular Neural Networks
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    Chapter 38 Application of Kohonen maps to the GPS Stochastic Tomography of the Ionosphere
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    Chapter 39 Capacities, Credibilities in Analysis of Probabilistic Objects by Histograms and Lattices
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    Chapter 40 Symbolic Pattern Classifiers Based on the Cartesian System Model
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    Chapter 41 Extension based proximities between constrained Boolean symbolic objects
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    Chapter 42 Towards A Normal Symbolic Form
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    Chapter 43 The SODAS Project: a Software for Symbolic Data Analysis
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    Chapter 44 Classification Structures for Cognitive Maps
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    Chapter 45 Unsupervised Concept Learning Using Rough Concept Analysis
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    Chapter 46 Implicative statistical analysis
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    Chapter 47 Correspondence Analysis, Discrimination, and Neural Networks
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    Chapter 48 Exploratory data analysis for Hayashi’s quantification method III by graphics
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    Chapter 49 Exploring Multidimensional Quantification Space
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    Chapter 50 Homogeneity Analysis for Partitioning Qualitative Variables
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    Chapter 51 Determining the Distance Index, II
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    Chapter 52 Meta-data and Strategies of Textual Data Analysis: Problems and Instruments
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    Chapter 53 Clustering of Texts using Semantic Graphs. Application to Open-ended Questions in Surveys
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    Chapter 54 How to find the nearest by evaluating only few? Clustering techniques used to improve the efficiency of an Information Retrieval system based on Distributional Semantics
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    Chapter 55 Fitting the CANDCLUS/MUMCLUS Models with Partitioning and Other Constraints
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    Chapter 56 A Distance-Based Biplot for Multidimensional Scaling of Multivariate Data
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    Chapter 57 Latent-class scaling models for the analysis of longitudinal choice data
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    Chapter 58 Nonlinear Multivariate Analysis by Neural Network Models
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    Chapter 59 Generalized Canonical Correlation Analysis with Linear Constraints
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    Chapter 60 Principal Component Analysis Based on a Subset of Variables for Qualitative Data
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    Chapter 61 Missing Data Imputation in Multivariate Analysis
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    Chapter 62 Recent Developments in Three-Mode Factor Analysis: Constrained Three-Mode Factor Analysis and Core Rotations
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    Chapter 63 Tucker2 as a Second-order Principal Component Analysis
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    Chapter 64 Parallel Factor Analysis with Constraints on the Configurations: An overview
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    Chapter 65 Regression Splines for Multivariate Additive Modeling
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    Chapter 66 Bounded Algebraic Curve Fitting for Multidimensional Data Using the Least-Squares Distance
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    Chapter 67 Using the Wavelet Transform for Multivariate Data Analysis and Time Series Analysis
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    Chapter 68 Visual Manipulation Environment for Data Analysis System
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    Chapter 69 Human Interface for Multimedia Database with Visual Interaction Facilities
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    Chapter 70 Proposition of a new Paradigm for a scientific Classification for Leadership Behavior Research Perspective
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    Chapter 71 Structure of Attitude toward Nuclear Power Generation
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    Chapter 72 Research Concerning the Consciousness of Women’s Attitude toward Independence
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    Chapter 73 A Cross-National Analysis of the Relationship between Genderedness in the Legal Naming of Same-Sex Sexual/Intimate Relationships and the Gender System
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    Chapter 74 A Constrained Clusterwise Regression Procedure for Benefit Segmentation
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    Chapter 75 Application of Classification and Related Methods to SQC Renaissance in Toyota Motor
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    Chapter 76 Application of Statistical Binary Tree Analysis to Quality Control
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    Chapter 77 Analysis of Preferences for Telecommunication Services in Each Area
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    Chapter 78 Effects of End-Aisle Display and Flier on the Brand-Switching of Instant Coffee
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    Chapter 79 On the classification of environmental data in the Bavarian Environment Information System using an object-oriented approach
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    Chapter 80 Cluster Analysis of Associated Words Obtained from a Free Response Test on Tokyo Bay
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    Chapter 81 Data Analysis of Deer-Train Collisions in Eastern Hokkaido, Japan
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    Chapter 82 Comparison of some numerical data between the belisama group of the genus Delias Hübner (Insecta: Lepidoptera) from Bali Island, Indonesia
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    Chapter 83 A method for classifying unaligned biological sequences
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    Chapter 84 An Approach to Determine the Necessity of Orthognathic Osteotomy or Orthodontic Treatment in a Cleft Individual
  86. Altmetric Badge
    Chapter 85 Data Analysis for Quality of Life and Personality
Attention for Chapter 3: What is Data Science ? Fundamental Concepts and a Heuristic Example
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Chapter title
What is Data Science ? Fundamental Concepts and a Heuristic Example
Chapter number 3
Book title
Data Science, Classification, and Related Methods
Published by
Springer Japan, January 1998
DOI 10.1007/978-4-431-65950-1_3
Book ISBNs
978-4-43-170208-5, 978-4-43-165950-1
Authors

Chikio Hayashi

Editors

Prof. Emeritus Chikio Hayashi, Prof. Keiji Yajima, Prof. Hans-Hermann Bock, Prof. Noboru Ohsumi, Prof. Yutaka Tanaka, Prof. Yasumasa Baba

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 183 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 20%
Researcher 21 11%
Student > Ph. D. Student 19 10%
Student > Bachelor 16 9%
Student > Doctoral Student 9 5%
Other 26 14%
Unknown 56 31%
Readers by discipline Count As %
Computer Science 44 24%
Engineering 16 9%
Business, Management and Accounting 13 7%
Social Sciences 9 5%
Economics, Econometrics and Finance 7 4%
Other 31 17%
Unknown 63 34%