A Novel Algorithm for Design Tree Classification with PCA
Ravindra Kumar Gupta, Gajendra Singh, Gaurav Kishor Saxena · 2013
Classification technique is useful to categorize data into classes from the current dataset on the basis of a training set of data containing observations (or instances) whose category membership is known. The decision Tree classification algorithm doesn't work well separately for high dimensional data. To improve the efficiency, in our work, we apply principal component analysis and linear transformation together on the original data set for dimensionality reduction after that classification algorithm is applied for a better solution.