## Advances in Data Science and Classification: Proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98) Università “La Sapienza”, Rome, 21–24 July, 1998Alfredo Rizzi, Maurizio Vichi, Hans-Hermann Bock International Federation of Classification Societies The International Federation of Classification Societies (lFCS) is an agency for the dissemination of technical and scientific information concerning classification and multivariate data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) by the following Scientific Societies and Groups: - British Classification Society - BCS - Classification Society of North America - CSNA - Gesellschaft fUr Klassification - GfKI - Japanese Classification Society - JCS - Classification Group ofItalian Statistical Society - CGSIS - Societe Francophone de Classification - SFC Now the IFCS includes also the following Societies: - Dutch-Belgian Classification Society - VOC - Polish Classification Section - SKAD - Portuguese Classification Association - CLAD - Group at Large - Korean Classification Society - KCS IFCS-98, the Sixth Conference of the International Federation of Classification Societies, was held in Rome, from July 21 to 24, 1998. Five preceding conferences were held in Aachen (Germany), Charlottesville (USA), Edinburgh (UK), Paris (France), Kobe (Japan). |

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### Contents

15 | |

An Investigation of Nine Procedures for Detecting the Structure | 29 |

Clustering Large Datasets of Mixed Units | 43 |

Applications to Point | 57 |

For Consensus With Branch Lengths | 73 |

The Information Content of Consensus Trees | 91 |

Two Methods of Fuzzy cMeans and Classification Functions | 105 |

Application of Fuzzy Mathematical Morphology for Pattern Classification | 125 |

Graphical Analysis of Fully Ranked Data | 369 |

Causes and Treatments | 375 |

Symbolic and Textual Data Analysis | 383 |

Statistical Proximity Functions of Boolean Symbolic | 391 |

Vertices Principal Components Analysis with an Improved | 397 |

On the Complexity of Computation with Symbolic Objects Using | 403 |

A Mathematical Framework | 409 |

Symbolic Kernel Discriminant Analysis | 417 |

A Constrained Clusterwise Procedure for Segmentation | 145 |

A Linear Programming Based Heuristic for a Hard | 161 |

Pertinence for a Classification | 177 |

Inference for ModelBased Cluster Analysis | 191 |

Stochastic Methods for Generative Systems Analysis | 205 |

Compensatory Rules for Optimal Classification with Mastery Scores | 211 |

Other Approaches for Classification | 219 |

A Leaps and Bounds Algorithm for Variable Selection in TwoGroup | 227 |

Canonical Discriminant Analysis of Multinomial Samples | 233 |

A Density Distance Based Approach to Projection | 245 |

Two Group Linear Discrimination Based on Transvariation Measures | 251 |

A New Geometrical Hypothesis for Clustering and Discriminant Analysis | 257 |

Neural Network and Classification | 265 |

Application of SelfOrganizing Maps to Outlier Identification | 279 |

NeuroFuzzy Classification | 287 |

Computational Enhancements in TreeGrowing Methods | 295 |

A New Way to Build Oblique Decision Trees Using Linear Programming | 303 |

Classification and Regression Trees Software and New Developments | 310 |

a Visual Environment for the Study of Multivariate Data | 319 |

Bayesian Factor Analysis Model and Choosing the Number of Factors | 335 |

Nonlinear Biplots for Multivariate Normal Grouped Populations | 343 |

Discretization as a Tool in Cluster Analysis | 349 |

A Robust Biplot Representation of Twoway Tables | 355 |

Specification and Model Comparison | 362 |

Decision Trees and Uncertain Inference | 424 |

Interpretation and Reduction of Galois Lattices of Complex Data | 433 |

Proximity Function for Clustering of Software Objects | 441 |

Text Analysis | 449 |

ThreeWay Textual Data Analysis | 457 |

Classification Problems in Text Analysis and Information Retrieval | 465 |

Text Mining Knowledge Extraction from Unstructured Textual Data | 473 |

Multivariate and Multidimensional Data Analysis | 481 |

The Data Theory Scaling System | 489 |

A Note on Identification and Similarity Models | 497 |

Generalized Distance Measures for Asymmetric Multivariate Distributions | 503 |

Obtaining Disparities as Slopes of Greatest Minorant Convex | 509 |

Multivariate Data Analysis | 517 |

Local Multivariate Analysis | 525 |

Mean | 539 |

NonLinear Data Analysis | 555 |

Statistical Multivariate Techniques for the Stock | 573 |

An Overview of Threeway Analysis and Some Recent Developments | 593 |

Selection of Classification Models Using Data Envelopment Analysis | 613 |

Application of ThreeWay Data Clustering to Analysis of Lymphocyte | 626 |

On an Error Detecting Algorithm on Textual Data Files | 635 |

Ordinal Variables in the Segmentation of Advertisement Receivers | 655 |

669 | |

### Other editions - View all

Advances in Data Science and Classification: Proceedings of the 6th ... Alfredo Rizzi,Maurizio Vichi,Hans-Hermann Bock No preview available - 1998 |

Advances in Data Science and Classification: Proceedings of the 6th ... Alfredo Rizzi,Maurizio Vichi,Hans-Hermann Bock No preview available - 1998 |

### Common terms and phrases

algorithm applied approach associated Bayesian binary biplot centroid classification cluster analysis clustering method coefficients computed consensus considered constraints contingency table convex correlation correspondence analysis criterion data set decision tree defined denoted density Diday discriminant analysis dissimilarity distance distribution elements error estimation example factor analysis Figure function fuzzy clustering given graph groups hierarchy identify improper solutions interval iterative K-means lattice least squares Lebart linear linear programming matrix maximum measure median minimizes multidimensional multidimensional scaling multivariate data neural networks neuro-fuzzy node number of clusters observations obtained optimal outliers paper parameters points predictive predictors principal component analysis principal components probabilistic probability problem procedure programming projection pursuit proposed random regression represented robust rules sample scaling segmentation similar spline splitting structure subset survey symbolic data symbolic objects Table techniques textual data Theorem three-mode transformation transvariation values variables variance vector words