• Classification Theory

    T1. Fuzzy Methods
    T2. Hierarchical Classification
    T3. Non Hierarchical Classification
    T4. Pattern Recognition 
    T5. Bayesian Classification
    T6. Classification of Multiway and Functional Data
    T7. Probabilistic Methods for Clustering
    T8. Consensus of Classifications
    T9. Spatial Clustering
    T10. Validity of Clustering
    T11. Neural Networks and Machine Learning Methods for Classification
    T12. Genetic Algorithms
    T13. Classification with Constraints
    T14. Mixture and Latent Class Models for Clustering.

  • Multivariate Data Analysis

    D1. Categorical Data Analysis
    D2. Correspondence Analysis
    D3. Biplots
    D4. Factor Analysis and Dimension Reduction Methods
    D5. Discrimination and Classification
    D6. Multiway Methods
    D7. Symbolic Data Analysis
    D8. Non Linear Data Analysis
    D9. Mixture Models
    D10. Multilevel Analysis
    D11. Covariance Structure Analysis
    D12. Partial Least Squares
    D13. Regression and Classification Trees
    D14. Robust Methods and Data Diagnostics
    D15. Spatial Data Analysis
    D16. Item Response Theory
    D17. Nonparametric and Semiparametric Regression
    D18. Social Networks
    D19. Functional Data Analysis
    D20. Big Data Analysis
    D21. Data Mining

  • Proximity Structure Analysis

    P1. Multidimensional Scaling
    P2. Similarities and Dissimilarities
    P3. Unfolding and Other Special Scaling Methods
    P4. Multiway Scaling.

  • Software Developments

    S1. Algorithms for Classification
    S2. Data Visualization
    S3. Algorithms for Multivariate Data Analysis.

  • Applied Classification and Data Analysis

  A1. Classification of Textual Data
  A2. Data Analysis in Economics and Finance
  A3. Data Analysis in Environmental Sciences
  A4. Classification in Medical Science
  A5. Cognitive Sciences and Classification
  A6. Classification in Biology and Ecology
  A7. Data Analysis in Demography
  A8. Classification of Microarray Data
  A9. Data Analysis for Customer Satisfaction and Service Quality Evaluation
  A10. Applications of Data and Web Mining.