Comparative Analysis of the Clustering Quality in Self-Organizing Maps for Human Posture Classification.
Lisiane Esther Ekemeyong AwongTeresa ZielinskaPublished in: Sensors (2023)
Keyphrases
- comparative analysis
- self organizing maps
- k means
- clustering quality
- unsupervised learning
- neural network
- clustering algorithm
- decision trees
- data clustering
- pattern recognition
- human posture
- feature selection
- feature vectors
- supervised learning
- feature extraction
- machine learning
- image classification
- training set
- information extraction
- dimensionality reduction
- text classification
- feature space
- human body
- bayesian networks
- spectral clustering
- data sets