Amorim, Renato (2008) Constrained Intelligent K-Means: Improving Results with Limited Previous Knowledge. In: Second International Conference on Advanced Engineering Computing and Applications in Sciences, 2008-09-29 - 2008-10-04, Valencia, Spain.
Amorim, Renato (2008) Constrained Intelligent K-Means: Improving Results with Limited Previous Knowledge. In: Second International Conference on Advanced Engineering Computing and Applications in Sciences, 2008-09-29 - 2008-10-04, Valencia, Spain.
Amorim, Renato (2008) Constrained Intelligent K-Means: Improving Results with Limited Previous Knowledge. In: Second International Conference on Advanced Engineering Computing and Applications in Sciences, 2008-09-29 - 2008-10-04, Valencia, Spain.
Abstract
It is here presented a new method for clustering that uses very limited amount of labeled data, employees two pairwise rules, namely must link and cannot link and a single wise one, cannot cluster. It is demonstrated that the incorporation of these rules in the intelligent k-means algorithm may increase the accuracy of results, this is proven with experiments where the real number of clusters in the data is unknown to the method.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 27 Jan 2022 10:08 |
| Last Modified: | 16 May 2024 19:13 |
| URI: | http://repository.essex.ac.uk/id/eprint/32142 |
Available files
Filename: Amorim-Clustering.pdf