Selected Contributions in Data Analysis and Classification
By inviting me to write a preface, the organizers of the event in honour of Edwin Diday, have expressed their a?ection and I appreciate this very much. This gives me an opportunity to express my friendship and admiration for Edwin Diday, and I wrote this foreword with pleasure. My ?rst few meetings...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2007, 2007
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| Edition: | 1st ed. 2007 |
| Series: | Studies in Classification, Data Analysis, and Knowledge Organization
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Adaptive Dissimilarity Index for Gene Expression Profiles Classification
- Lower (Anti-)Robinson Rank Representations for Symmetric Proximity Matrices
- Density-Based Distances: a New Approach for Evaluating Proximities Between Objects. Applications in Clustering and Discriminant Analysis
- Robinson Cubes
- Multivariate Statistics
- Relative and Absolute Contributions to Aid Strata Interpretation
- Classification and Generalized Principal Component Analysis
- Locally Linear Regression and the Calibration Problem for Micro-Array Analysis
- Sanskrit Manuscript Comparison for Critical Edition and Classification
- Divided Switzerland
- Prediction with Confidence
- Which Bootstrap for Principal Axes Methods?
- PCR and PLS for Clusterwise Regression on FunctionalData
- A New Method for Ranking n Statistical Units
- About Relational Correlations
- Dynamic Features Extraction in Soybean Futures Market of China
- Analysis of Symbolic Data
- Dependencies and Variation Components of Symbolic Interval-Valued Data
- On the Analysis of Symbolic Data
- Symbolic Analysis to Learn Evolving CyberTraffic
- A Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Hausdorff Distance
- An Agglomerative Hierarchical Clustering Algorithm for Improving Symbolic Object Retrieval
- 3WaySym-Scal: Three-Way Symbolic Multidimensional Scaling
- Clustering and Validation of Interval Data
- Building Symbolic Objects from Data Streams
- Feature Clustering Method to Detect Monotonic Chain Structures in Symbolic Data
- Symbolic Markov Chains
- Quality Issues in Symbolic Data Analysis
- Dynamic Clustering of Histogram Data: Using the Right Metric
- Clustering Methods
- Beyond the Pyramids: Rigid Clustering Systems
- Indirect Blockmodeling of 3-Way Networks
- Clustering Methods: A History of k-Means Algorithms
- Data Analysis, Data Mining, and KDD
- Knowledge Management in Environmental Sciences with : Application to Systematics of Corals of the Mascarene Archipelago
- Unsupervised Learning Informational Limit in Case of Sparsely Described Examples
- Data Analysis and Operations Research
- Reduction of Redundant Rules in Statistical Implicative Analysis
- Mining Personal Banking Data to Detect Fraud
- Finding Rules in Data
- Mining Biological Data Using Pyramids
- Association Rules for Categorical and Tree Data
- Induction Graphs for Data Mining
- Dissimilarities: Structures and Indices
- Clustering of Molecules: Influence of the Similarity Measures
- Group Average Representations in Euclidean Distance Cones
- On Lower-Maximal Paired-Ultrametrics
- A Note on Three-Way Dissimilarities and Their Relationship with Two-Way Dissimilarities
- One-to-One Correspondence Between Indexed Cluster Structures and Weakly Indexed Closed Cluster Structures
- Overlapping Clustering in a Graph Using k-Means and Application to Protein Interactions Networks
- Species Clustering via Classical and Interval Data Representation
- Looking for High Density Zones in a Graph
- Block Bernoulli Parsimonious Clustering Models
- Cluster Analysis Based on Posets
- Hybrid k-Means: Combining Regression-Wise and Centroid-Based Criteria for QSAR
- Partitioning by Particle Swarm Optimization
- Conceptual Analysis of Data
- Concepts of a Discrete Random Variable
- Mining Description Logics Concepts with Relational Concept Analysis
- Representation of Concept Description by Multivalued Taxonomic Preordonance Variables
- Recent Advances in Conceptual Clustering: CLUSTER3
- Symbolic Dynamics in Text: Application to Automated Construction of Concept Hierarchies
- Consensus Methods
- Average Consensus and Infinite Norm Consensus : Two Methods for Ultrametric Trees
- Consensus from Frequent Groupings
- Consensus of Star Tree Hypergraphs