Cover......Page 1
Studies in Classification, Data Analysis,
and Knowledge Organisation......Page 2
Classification, Clustering,
and Data Mining Applications......Page 4
ISBN 9783540220145......Page 5
Preface......Page 9
Contents......Page 10
Part I:
New Methods in Cluster Analysis......Page 17
Thinking Ultrametrically......Page 19
Clustering by Vertex Density In a Graph......Page 31
Clustering by Ant Colony Optimization......Page 41
A Dynamic Cluster Algorithm Based on Lr
Distances for Quantitative Data......Page 49
The Last Step of aNew Divisive Monothetic
Clustering Method: the Gluing-Back Criterion......Page 59
Standardizing Variables in K-means Clustering......Page 69
A Self-Organizing Map for Dissimilarity Data......Page 77
Another Version of the Block EM Algorithm......Page 85
Controlling the Level of Separation of
Components in Monte Carlo Studies of Latent
Class Models......Page 93
Fixing Parameters in the Constrained
Hierarchical Classification Method: Application
to Digital Image Segmentation......Page 101
New Approaches for Sum-of-Diameters
Clustering......Page 111
Spatial Pyramidal Clustering Based on a
Tessellation......Page 121
Part II:
Modern Nonparametrics......Page 137
Relative Projection Pursuit and its Application......Page 139
Priors for Neural Networks......Page 157
Combining Models in Discrete Discriminant
Analysis Through a Committee of Methods......Page 167
Phoneme Discrimination with Functional
Multi-Layer Perceptrons......Page 173
PLS Approach for Clusterwise Linear
Regression on Functional Data......Page 183
On Classification and Regression Trees for
Multiple Responses......Page 193
Subsetting Kernel Regression Models Using
Genetic Algorithm and the Information
Measure of Complexity......Page 201
Cherry-Picking as a Robustness Tool......Page 213
Part III:
Classification and Dimension Reduction......Page 223
Academic Obsessions and Classification
Realities: Ignoring Practicalities in Supervised
Classification......Page 225
Modified Biplots for Enhancing Two-Class
Discriminant Analysis......Page 249
Weighted Likelihood Estimation of Person
Locations in an Unfolding Model for
Polytomous Responses......Page 257
Classification of Geospatial Lattice Data and
their Graphical Representation......Page 267
Degenerate Expectation-Maximization
Algorithm for Local Dimension Reduction......Page 275
A Dimension Reduction Technique for Local
Linear Regression......Page 285
Reducing the Number of Variables Using
Implicative Analysis......Page 293
Optimal Discretization of Quantitative
Attributes for Association Rules......Page 303
Part IV:
Symbolic Data Analysis......Page 313
Clustering Methods in Symbolic Data Analysis......Page 315
Dependencies in Bivariate Interval-Valued
Symbolic Data......Page 335
Clustering of Symbolic Objects Described by
Multi-Valued and Modal Variables......Page 341
A Hausdorff Distance Between
Hyper-Rectangles for Clustering Interval Data......Page 349
Kolmogorov-Smirnov for Decision Trees on
Interval and Histogram Variables......Page 357
Dynamic Cluster Methods for Interval Data
Based on Mahalanobis Distances......Page 367
A Symbolic Model-Based Approach for Making
Collaborative Group Recommendations......Page 377
Probabilistic Allocation of Aggregated
Statistical Units in Classification Trees for
Symbolic Class Description......Page 387
Building Small Scale Models of Multi-Entity
Databases By Clustering......Page 397
Part V: Taxonomy and Medicine......Page 409
Phylogenetic Closure Operations and
Homoplasy-Free Evolution......Page 411
Consensus of Classification Systems, with
Adams' Results Revisited......Page 433
Symbolic Linear Regression with Taxonomies......Page 445
Determining Horizontal Gene Transfers In
Species Classification: Unique Scenario......Page 455
Active and Passive Learning to Explore a
Complex Metabolism Data Set......Page 463
Mathematical and Statistical Modeling of Acute
Inflammation......Page 473
Combining Functional MRI
Data on Multiple Subjects......Page 485
Classifying the State of Parkinsonism by Using
Electronic Force Platform Measures of Balance......Page 493
Subject Filtering for Passive Biometric
Monitoring......Page 501
Part VI: Text Mining......Page 509
Mining Massive Text Data and Developing
Tracking Statistics......Page 511
Contributions of Textual Data Analysis to Text
Retrieval......Page 527
Automated Resolution of Noisy Bibliographic
References......Page 537
Choosing the Right Bigrams for Information
Retrieval......Page 547
A Mixture Clustering Model for Pseudo
Feedback in Information Retrieval......Page 557
Analysis of Cross-Language Open-Ended
Questions Through MFACT......Page 569
Inferring User's Information Context from User
Profiles and Concept Hierarchies......Page 579
Database Selection for Longer Queries......Page 591
Part VII:
Contingency Tables and Missing Data......Page 601
An Overview of Collapsibility......Page 603
Generalized Factor Analyses for Contingency
Tables......Page 613
A PLS Approach to Multiple Table Analysis......Page 623
Simultaneous Rowand Column Partitioning In
Several Contingency Tables......Page 637
Missing Data and Imputation Methods In
Partition of Variables......Page 647
The Treatment of Missing Values and its Effect
on Classifier Accuracy......Page 655
Clustering with Missing Values: No Imputation
Required......Page 665