Using metrics and cluster analysis for analyzing learner video viewing behaviours in educational videos.
Alexandros KleftodimosGeorgios EvangelidisPublished in: AICCSA (2014)
Keyphrases
- cluster analysis
- video content
- video frames
- video data
- video sequences
- video quality assessment
- video database
- video clips
- video analysis
- categorical data
- multimedia
- e learning
- key frames
- video streams
- data clustering
- factor analysis
- clustering method
- k means
- video retrieval
- hierarchical latent class models
- clustering algorithm
- human activities
- video segments
- data analysis
- unsupervised learning
- data mining
- learning environment
- action recognition
- cluster validity
- correlation analysis
- learning process
- fuzzy c means
- fuzzy clustering
- partitional clustering
- bayesian networks
- real world
- latent class models
- databases