Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods.
Fei SongShubhendu TrivediYutao WangGábor N. SárközyNeil T. HeffernanPublished in: FLAIRS Conference (2013)
Keyphrases
- spectral clustering
- evolutionary clustering
- clustering method
- clustering algorithm
- k means
- microarray data analysis
- synthetic and real datasets
- computational cost
- high dimensional data
- clustering approaches
- hierarchical clustering
- data representations
- data mining tasks
- categorical data
- long term
- information theoretic
- similarity function
- cluster analysis
- spectral methods
- self organizing maps
- benchmark datasets
- machine learning