Hybrid dimension reduction by integrating feature selection with feature extraction method for text clustering
A novel hybrid dimension reduction method is proposed. It obtains a highly informed and much reduced feature subset. It improves obtained results of the underlying clustering method. It improves computational complexity of the underlying clustering method.
feature selection feature extraction text clustering term variance document frequency principal component analysis