A Survey on Ensemble Methods for High Dimensional Data Classification in Biomedicine Field

The volume of the information is growing exceptionally large. So, there is growing interest to help people to categorize, handle and control these resources. In last few years, the data mining is applied widely to discover the knowledge from information system. Classification is one of the tools which are used for data mining. Ensemble methods proved to be superior to individual classification method for high dimensional datasets. Hence, this paper surveys many ensemble methods along with bagging, boosting and random forest. It gives the idea about the earlier proposed categories of ensemble methods. It also discusses about the performance of ensemble methods.