Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction.
Kevin FaustQuin XieDominick HanKartikay GoyleZoya I. VolynskayaUgljesa DjuricPhedias DiamandisPublished in: BMC Bioinform. (2018)
Keyphrases
- anomaly detection
- dimensionality reduction
- deep learning
- unsupervised learning
- feature space
- high dimensional feature space
- classification accuracy
- kernel pca
- intrusion detection
- feature extraction
- principal component analysis
- detecting anomalies
- feature selection
- pattern recognition
- anomalous behavior
- high dimensional
- low dimensional
- feature vectors
- data points
- support vector machine
- network intrusion detection
- network traffic
- intrusion detection system
- decision trees
- training set
- one class support vector machines
- high dimensional data
- network anomaly detection
- negative selection algorithm
- mean shift
- model selection
- similarity measure
- maximum likelihood
- image classification
- feature set
- computer vision
- data sets