SVM Based ECG Classification Using Rhythm and Morphology Features, Cluster Analysis and Multilevel Noise Estimation.
Radovan SmísekJakub HejcMarina RonzhinaAndrea NemcováLucie MarsánováJirí ChmelíkJana KolárováIvo ProvazníkLukás SmitalMartin VítekPublished in: CinC (2017)
Keyphrases
- cluster analysis
- feature vectors
- noise estimation
- feature space
- support vector
- feature extraction
- unsupervised learning
- support vector machine
- support vector machine svm
- categorical data
- class labels
- pattern recognition
- clustering method
- decision trees
- data analysis
- data mining
- k means
- fuzzy c means
- factor analysis
- cluster validity
- text classification
- databases
- hierarchical latent class models
- supervised learning
- clustering algorithm
- machine learning
- signal processing
- higher order
- noise level
- training set
- feature selection
- computer vision
- numeric values