Data Science, Classification, and Related Methods

General Aspects of Data Science.- Probabilistic Aspects in Classification.- Cluster Validation.- What is Data Science ? Fundamental Concepts and a Heuristic Example.- Fitting Graphs and Trees with Multidimensional Scaling Methods.- Classification and data analysis in finance.- How to validate phylogenetic trees? A stepwise procedure.- Some Trends in the Classification of Variables.- Convexity Methods in Classification.- Methodologies in Classification.- How Many Clusters? An Investigation of Five Procedures for Detecting Nested Cluster Structure.- Partitional Cluster Analysis with Genetic Algorithms: Searching for the Number of Clusters.- Explanatory Variables in Classifications and the Detection of the Optimum Number of Clusters.- Random dendrograms for classifiability testing.- The L p -product of ultrametric spaces and the corresponding product of hierarchies.- Towards Comparison of Decomposable Systems.- Performance of Eight Dissimilarity Coefficients to Cluster a Compositional Data Set.- Consensus of Hierarchical Classifications.- On the Minimum Description Length (MDL) Principle for Hierarchical Classifications.- Consensus Methods for Pyramids and Other Hypergraphs.- On the Behavior of Splitting Criteria for Classification Trees.- Fitting Pre-specified Blockmodels.- Robust impurity measures in decision trees.- Induction of Decision Trees Based on the Rough Set Theory.- Visualizing Data in Tree-Structured Classification.- Adaptive Cluster Analysis Techniques — Software and Applications.- Classification and Discrimination.- The Most Random Partition of a Finite Set and its Application to Classification.- A Mixture Model To Classify Individual Profiles Of Repeated Measurements.- Irregularly Spaced AR (ISAR) Models.- Two Types of Partial Least Squares Method in Linear Discriminant Analysis.- Resampling Methods for Error Rate Estimation in Discriminant Analysis.- A Short Overview of the Methods for Spatial Data Analysis.- Choice of Multiple Representative Signatures for On-line Signature Verification Using a Clustering Procedure.- Related Approaches for Classification.- Algorithms for L 1 and L p Fuzzy c-Means and Their Convergence.- General Approach to the Construction of Measures of Fuzziness of Fuzzy K-Partitions.- Additive Clustering Model and Its Generalization.- A Proposal of an Extended Model of ADCLUS Model.- Comparison of Pruning Algorithms in Neural Networks.- Classification Method by Using the Associative Memories in Cellular Neural Networks.- Application of Kohonen maps to the GPS Stochastic Tomography of the Ionosphere.- Capacities, Credibilities in Analysis of Probabilistic Objects by Histograms and Lattices.- Symbolic Pattern Classifiers Based on the Cartesian System Model.- Extension based proximities between constrained Boolean symbolic objects.- Towards A Normal Symbolic Form.- The SODAS Project: a Software for Symbolic Data Analysis.- Classification Structures for Cognitive Maps.- Unsupervised Concept Learning Using Rough Concept Analysis.- Implicative statistical analysis.- Correspondence Analysis, Quantification Methods, and Multidimensional Scaling.- Correspondence Analysis, Discrimination, and Neural Networks.- Exploratory data analysis for Hayashi’s quantification method III by graphics.- Exploring Multidimensional Quantification Space.- Homogeneity Analysis for Partitioning Qualitative Variables.- Determining the Distance Index, II.- Meta-data and Strategies of Textual Data Analysis: Problems and Instruments.- Clustering of Texts using Semantic Graphs. Application to Open-ended Questions in Surveys.- 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.- Fitting the CANDCLUS/MUMCLUS Models with Partitioning and Other Constraints.- A Distance-Based Biplot for Multidimensional Scaling of Multivariate Data.- Latent-class scaling models for the analysis of longitudinal choice data.- Multivariate and Multidimensional Data Analysis.- Nonlinear Multivariate Analysis by Neural Network Models.- Generalized Canonical Correlation Analysis with Linear Constraints.- Principal Component Analysis Based on a Subset of Variables for Qualitative Data.- Missing Data Imputation in Multivariate Analysis.- Recent Developments in Three-Mode Factor Analysis: Constrained Three-Mode Factor Analysis and Core Rotations.- Tucker2 as a Second-order Principal Component Analysis.- Parallel Factor Analysis with Constraints on the Configurations: An overview.- Regression Splines for Multivariate Additive Modeling.- Bounded Algebraic Curve Fitting for Multidimensional Data Using the Least-Squares Distance.- Using the Wavelet Transform for Multivariate Data Analysis and Time Series Analysis.- Visual Manipulation Environment for Data Analysis System.- Human Interface for Multimedia Database with Visual Interaction Facilities.- Case Studies of Data Science.- Proposition of a new Paradigm for a scientific Classification for Leadership Behavior Research Perspective.- Structure of Attitude toward Nuclear Power Generation.- Research Concerning the Consciousness of Women’s Attitude toward Independence.- A Cross-National Analysis of the Relationship between Genderedness in the Legal Naming of Same-Sex Sexual/Intimate Relationships and the Gender System.- A Constrained Clusterwise Regression Procedure for Benefit Segmentation.- Application of Classification and Related Methods to SQC Renaissance in Toyota Motor.- Application of Statistical Binary Tree Analysis to Quality Control.- Analysis of Preferences for Telecommunication Services in Each Area.- Effects of End-Aisle Display and Flier on the Brand-Switching of Instant Coffee.- On the classification of environmental data in the Bavarian Environment Information System using an object-oriented approach.- Cluster Analysis of Associated Words Obtained from a Free Response Test on Tokyo Bay.- Data Analysis of Deer-Train Collisions in Eastern Hokkaido, Japan.- Comparison of some numerical data between the belisama group of the genus Delias Hübner (Insecta: Lepidoptera) from Bali Island, Indonesia.- A method for classifying unaligned biological sequences.- An Approach to Determine the Necessity of Orthognathic Osteotomy or Orthodontic Treatment in a Cleft Individual.- Data Analysis for Quality of Life and Personality.