Accuracy comparison of dimensionality reduction techniques to determine significant features from IMU sensor-based data to diagnose vestibular system disorders.
Serhat IkizogluSaddam HeydarovPublished in: Biomed. Signal Process. Control. (2020)
Keyphrases
- data sets
- significant features
- data sources
- database
- training data
- data processing
- image data
- original data
- data analysis
- data points
- high dimensional data
- dimensionality reduction
- statistical analysis
- input data
- sensor data
- missing data
- data collection
- high accuracy
- data structure
- high quality
- neural network
- training samples
- knowledge discovery
- raw data
- input space
- data reduction
- machine learning