Distributions mixture, copulas and dependence

Project: PHD

Project Details

Description

A symbolic variable can be provided in the form of a continuous distribution. In this case, how to solve the most frequent problem in data mining, namely: how to classify the objects starting from the description of the variables in the form of continuous distributions. A solution is to sample each distribution in a number N of points, and to evaluate the joint distribution of these values using the copulas, and also to adapt the "nuées dynamiques" method to these joint densities.
StatusFinished
Effective start/end date1/09/0131/08/09

Keywords

  • Symbolic Data Analysis
  • Clustering
  • Mixture Decomposition
  • Copulas