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.
Status | Finished |
---|---|
Effective start/end date | 1/09/01 → 31/08/09 |
Keywords
- Symbolic Data Analysis
- Clustering
- Mixture Decomposition
- Copulas
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.