Title | Classification, Clustering, and Data Mining Applications [electronic resource] : Proceedings of the Meeting of the International Federation of Classification Societies (IFCS), Illinois Institute of Technology, Chicago, 15-18 July 2004 / edited by David Banks, Frederick R. McMorris, Phipps Arabie, Wolfgang Gaul |
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Imprint | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004 |
Connect to | http://dx.doi.org/10.1007/978-3-642-17103-1 |
Descript | XIV, 658 p. online resource |
I New Methods in Cluster Analysis -- Thinking Ultrametrically -- Clustering by Vertex Density in a Graph -- Clustering by Ant Colony Optimization -- A Dynamic Cluster Algorithm Based on Lr Distances for Quantitative Data -- The Last Step of a New Divisive Monothetic Clustering Method: the Gluing-Back Criterion -- Standardizing Variables in K-means Clustering -- A Self-Organizing Map for Dissimilarity Data -- Another Version of the Block EM Algorithm -- Controlling the Level of Separation of Components in Monte Carlo Studies of Latent Class Models -- Fixing Parameters in the Constrained Hierarchical Classification Method: Application to Digital Image Segmentation -- New Approaches for Sum-of-Diameters Clustering -- Spatial Pyramidal Clustering Based on a Tessellation -- II Modern Nonparametrics -- Relative Projection Pursuit and its Application -- Priors for Neural Networks -- Combining Models in Discrete Discriminant Analysis Through a Committee of Methods -- Phoneme Discrimination with Functional Multi-Layer Perceptrons -- PLS Approach for Clusterwise Linear Regression on Functional Data -- On Classification and Regression Trees for Multiple Responses -- Subsetting Kernel Regression Models Using Genetic Algorithm and the Information Measure of Complexity -- Cherry-Picking as a Robustness Tool -- III Classification and Dimension Reduction -- Academic Obsessions and Classification Realities: Ignoring Practicalities in Supervised Classification -- Modified Biplots for Enhancing Two-Class Discriminant Analysis -- Weighted Likelihood Estimation of Person Locations in an Unfolding Model for Polytomous Responses -- Classification of Geospatial Lattice Data and their Graphical Representation -- Degenerate Expectation-Maximization Algorithm for Local Dimension Reduction -- A Dimension Reduction Technique for Local Linear Regression -- Reducing the Number of Variables Using Implicative Analysis -- Optimal Discretization of Quantitative Attributes for Association Rules -- IV Symbolic Data Analysis -- Clustering Methods in Symbolic Data Analysis -- Dependencies in Bivariate Interval-Valued Symbolic Data -- Clustering of Symbolic Objects Described by Multi-Valued and Modal Variables -- A Hausdorff Distance Between Hyper-Rectangles for Clustering Interval Data -- Kolmogorov-Smirnov for Decision Trees on Interval and Histogram Variables -- Dynamic Cluster Methods for Interval Data Based on Mahalanobis Distances -- A Symbolic Model-Based Approach for Making Collaborative Group Recommendations -- Probabilistic Allocation of Aggregated Statistical Units in Classification Trees for Symbolic Class Description -- Building Small Scale Models of Multi-Entity Databases by Clustering -- V Taxonomy and Medicine -- Phylogenetic Closure Operations and Homoplasy-Free Evolution -- Consensus of Classification Systems, with Adamsโ Results Revisited -- Symbolic Linear Regression with Taxonomies -- Determining Horizontal Gene Transfers in Species Classification: Unique Scenario -- Active and Passive Learning to Explore a Complex Metabolism Data Set -- Mathematical and Statistical Modeling of Acute Inflammation -- Combining Functional MRI Data on Multiple Subjects -- Classifying the State of Parkinsonism by Using Electronic Force Platform Measures of Balance -- Subject Filtering for Passive Biometric Monitoring -- VI Text Mining -- Mining Massive Text Data and Developing Tracking Statistics -- Contributions of Textual Data Analysis to Text Retrieval -- Automated Resolution of Noisy Bibliographic References -- Choosing the Right Bigrams for Information Retrieval -- A Mixture Clustering Model for Pseudo Feedback in Information Retrieval -- Analysis of Cross-Language Open-Ended Questions Through MFACT -- Inferring Userโs Information Context from User Profiles and Concept Hierarchies -- Database Selection for Longer Queries -- VII Contingency Tables and Missing Data -- An Overview of Collapsibility -- Generalized Factor Analyses for Contingency Tables -- A PLS Approach to Multiple Table Analysis -- Simultaneous Rowand Column Partitioning in Several Contingency Tables -- Missing Data and Imputation Methods in Partition of Variables -- The Treatment of Missing Values and its Effect on Classifier Accuracy -- Clustering with Missing Values: No Imputation Required