E-raamat: New Approaches in Classification and Data Analysis

Classification and Clustering: Problems for the Future.- From
classifications to cognitive categorization: the example of the road
lexicon.- A review of graphical methods in Japanfrom histogram to dynamic
display.- New Data and New Tools: A Hypermedia Environment for Navigating
Statistical Knowledge in Data Science.- On the logical necessity and priority
of a monothetic conception of class, and on the consequent inadequacy of
polythetic accounts of category and categorization.- Research and
Applications of Quantification Methods in East Asian Countries.- Algorithms
for a geometrical P.C.A. with the L1-norm.- Comparison of hierarchical
classifications.- On quadripolar Robinson dissimilarity matrices.- An Ordered
Set Approach to Neutral Consensus Functions.- From Apresjan Hierarchies and
Bandelt-Dress Weak hierarchies to Quasi-hierarchies.- Spanning trees and
average linkage clustering.- Adjustments of tree metrics based on minimum
spanning trees.- The complexity of the median procedure for binary trees.- A
multivariate analysis of a series of variety trials with special reference to
classification of varieties.- Quality control of mixture. Application: The
grass.- Mixture Analysis with Noisy Data.- Locally optimal tests on spatial
clustering.- Choosing the Number of Clusters, Subset Selection of Variables,
and Outlier Detection in the Standard Mixture-Model Cluster Analysis.- An
examination of procedures for determining the number of clusters in a data
set.- The gap test: an optimal method for determining the number of natural
classes in cluster analysis.- Mode detection and valley seeking by binary
morphological analysis of connectivity for pattern classification.-
Interactive Class Classification Using Types.- K-means clustering in a
low-dimensional Euclideanspace.- Complexity relaxation of dynamic programming
for cluster analysis.- Partitioning Problems in Cluster Analysis: A Review of
Mathematical Programming Approaches.- Clusters and factors: neural algorithms
for a novel representation of huge and highly multidimensional data sets.-
Graphs and structural similarities.- A generalisation of the diameter
criterion for clustering.- Percolation and multimodal data structuring.-
Classification and Discrimination Techniques Applied to the Early Detection
of Business Failure.- Recursive Partition and Symbolic Data Analysis.-
Interpretation Tools For Generalized Discriminant Analysis.- Inference about
rejected cases in discriminant analysis.- Structure Learning of Bayesian
Networks by Genetic Algorithms.- On the representation of observational data
used for classification and identification of natural objects.- Alternative
strategies and CATANOVA testing in two-stage binary segmentation.- Alignment,
Comparison and Consensus of Molecular Sequences.- An Empirical Evaluation of
Consensus Rules for Molecular Sequences.- A Probabilistic Approach To
Identifying Consensus In Molecular Sequences.- Applications of Distance
Geometry to Molecular Conformation.- Classification of aligned biological
sequences.- Use of Pyramids in Symbolic Data Analysis.- Proximity
Coefficients between Boolean symbolic objects.- Conceptual Clustering in
Structured Domains: A Theory Guided Approach.- Automatic Aid to Symbolic
Cluster Interpretation.- Symbolic Clustering Algorithms using Similarity and
Dissimilarity Measures.- Feature Selection for Symbolic Data Classification.-
Towards extraction method of knowledge founded by symbolic objects.- One
Method of Classification based on an Analysis of the Structural Relationship
between Independent Variables.- The Integration of Neural Networks with
Symbolic Knowledge Processing.- Ordering of Fuzzy k-Partitions.- On the
Extension of Probability Theory and Statistics to the Handling of Fuzzy
Data.- Fuzzy Regression.- Clustering and Aggregation of Fuzzy Preference
Data: Agreement vs. Information.- Rough Classification with Valued Closeness
Relation.- Representing proximities by network models.- An Eigenvector
Algorithm to Fit lp-Distance Matrices.- A non linear approach to Non
Symmetrical Data Analysis.- An Algorithmic Approach to Bilinear Models for
Two-Way Contingency Tables.- New Approaches Based on Rankings in Sensory
Evaluation.- Estimating failure times distributions from censored systems
arranged in series.- Calibration Used as a Nonresponse Adjustment.- Least
Squares Smoothers and Additive Decomposition.- High Dimensional
Representations and Information Retrieval.- Experiments of Textual Data
Analysis at Electricité de France.- Conception of a Data Supervisor in the
Prospect of Piloting Management Quality of Service and Marketing.-
Discriminant Analysis Using Textual Data.- Recent Developments in Case Based
Reasoning: Improvements of Similarity Measures.- Contiguity in discriminant
factorial analysis for image clustering.- Exploratory and Confirmatory
Discrete Multivariate Analysis in a Probabilistic Approach for Studying the
Regional Distribution of Aids in Angola.- Factor Analysis of Medical Image
Sequences (FAMIS): Fundamental principles and applications.- Multifractal
Segmentation of Medical Images.- The Human Organisma Place to Thrive for the
Immuno-Deficiency Virus.- Comparability and usefulness of newer and classical
data analysis techniques. Application in medical domain classification.- The
Classification of IRAS Point Sources.- Astronomical classification ofthe
Hipparcos input catalogue.- Group identification and individual assignation
of stars from kinematical and luminosity parameters.- Specific numerical and
symbolic analysis of chronological series in view to classification of long
period variable stars.- Author and Subject Index.