demerits of these algorithms. KNN and PCA-KNN emerged to be the top individual and integrated models. The study also concluded …

method. The proposed ontology based approach was evaluated against the Principal component analysis (PCA) approach using …

technique. The proposed ontology based approach was evaluated against the Principal component analysis (PCA) approach, and …

conjectured to govern the natural neural assemblies and the classical principal component analysis (PCA) method used by …

idea is that principal component analysis (PCA) can compress optimally only the kind of documents–in our experiments email … not perform well using only a few components. Thus, the classifier computes separately the PCA for each document class …

further processed to suppress the artifacts. In our first approach, principal component analysis (PCA) is employed to suppress … artifacts. More importantly, the IMF-variance-based approach has provided significantly better performance than the EWT-PCA … based approach. Also, the IMF-variance based approach is computationally more efficient than the EWT-PCA based approach. Our …