Download Abstract - Logic Mind Technologies

Incremental Semi-Supervised Clustering Ensemble
for High Dimensional Data Clustering
Abstract:
Recently, cluster ensemble approaches have gained more and more attention [1]?[2], due to
useful applications in the areas of pattern recognition, data mining, bioinformatics, and so on.
When compared with traditional single clustering algorithms, cluster ensemble approaches are
able to integrate multiple clustering solutions obtained from different data sources into a unified
solution, and provide a more robust, stable and accurate final result.