Apply modern, deep learning techniques for anomaly detection to identify network intrusions.

Application of Deep Learning and Feature Extraction in Software Defect Prediction

RGB data processing pipeline including auto-white-balance based on principle component analysis (PCA).

Heart disease detection using different classifiers and neural network with feature engineering.

An binary classification model based on principle component analysis and fuzzy inference system. It takes brain MRI images and predicts whether the MRI image contains a tumor or not.

Principle Component Analysis

Using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) on same dataset and analyzing the best one

Principle Component Analysise Assignment

Dimensionality reduction and Face classification using K-NN and PCA

PCA applicator on a vector.

unsupervised learning to compress images and reconstruct images

Datamining concepts

Principal component analysis (PCA)