## Advances in Classification and Data AnalysisSimone Borra, Roberto Rocci, Maurizio Vichi, Martin Schader This volume contains a selection of papers presented at the biannual meeting of the Classification and Data Analysis Group of Societa Italiana di Statistica, which was held in Rome, July 5-6, 1999. From the originally submitted papers, a careful review process led to the selection of 45 papers presented in four parts as follows: CLASSIFICATION AND MULTIDIMENSIONAL SCALING Cluster analysis Discriminant analysis Proximity structures analysis and Multidimensional Scaling Genetic algorithms and neural networks MUL TIV ARIA TE DATA ANALYSIS Factorial methods Textual data analysis Regression Models for Data Analysis Nonparametric methods SPATIAL AND TIME SERIES DATA ANALYSIS Time series analysis Spatial data analysis CASE STUDIES INTERNATIONAL FEDERATION OF CLASSIFICATION SOCIETIES The International Federation of Classification Societies (IFCS) is an agency for the dissemination of technical and scientific information concerning classification and data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) from the following Scientific Societies and Groups: British Classification Society -BCS; Classification Society of North America - CSNA; Gesellschaft fUr Klassifikation - GfKI; Japanese Classification Society -JCS; Classification Group of Italian Statistical Society - CGSIS; Societe Francophone de Classification -SFC. Now the IFCS includes also the following Societies: Dutch-Belgian Classification Society - VOC; Polish Classification Society -SKAD; Associayao Portuguesa de Classificayao e Analise de Dados -CLAD; Korean Classification Society -KCS; Group-at-Large. |

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### Contents

2 | |

11 | |

A kmeans Consensus Classification | 19 |

A NonHierarchical Clustering Method for MixedMode Data | 27 |

and Variables | 43 |

Discriminant Analysis | 53 |

The Effect of Telephone Survey Design on Discriminant Analysis | 61 |

Proximity Structures Analysis and Multidimensional Scaling | 69 |

Textual Data Analysis | 169 |

Regression Models for Data Analysis | 185 |

Nonparametric Methods | 233 |

Regression | 241 |

Linear Fuzzy Regression Analysis with Asymmetric Spreads | 257 |

PART III | 265 |

Approach | 299 |

Spatial Data Analysis | 307 |

Euclidean Distances | 77 |

Time Trajectories | 93 |

Using Radial Basis Function Networks for Classification Problems 19 | 119 |

a Neural Network Approach | 127 |

PART II | 135 |

NonLinear Multiple Correspondence Analysis | 145 |

Rainwater Pollution Data | 153 |

Core Matrix Rotation to Natural Zeros in ThreeMode Factor Analysis | 161 |

Some Aspects of Multivariate Geostatistics | 315 |

Banking Deposits in the Italian Provinces | 333 |

Statistical Analysis of Papal Encyclicals 343 | 342 |

an Experiment in Clustering via Monothetic | 351 |

Significance of the Classification for the Italian Service Sector | 359 |

A Neural Net Model to Predict High Tides in Venice | 367 |

375 | |

### Other editions - View all

Advances in Classification and Data Analysis Simone Borra,Roberto Rocci,Maurizio Vichi No preview available - 2001 |

### Common terms and phrases

aggregation alternative applied approach basis functions binary bootstrap Cailliez classification cluster analysis coefficient comparison computed considered corresponding covariance criterion Data Analysis data set defined denote density dependence Diday Dipartimento discriminant analysis dissimilarity measure distribution divisive algorithm double k-means eigenvalues elementary event error estimates Euclidean distance evaluate factor fitness function fuzzy Galois lattice genetic algorithm given hard partition input interaction ISTAT k-means algorithm kernel Keywords latent budget linear Mahalanobis distance Mardia matrix method misclassification modal Multidimensional Scaling multivariate neural network node number of clusters number of groups objects and variables observed obtained optimal paper parameters performance plot prediction predictors principal component analysis probability problem procedure proposed quadrat quantitative variable random variables ratio RBFN regression model respect sample selection solution spatial stable clusters Statistica statistical structure submodel Table techniques transformation ultrametric ultramine units Università variance vector Vichi weights