A Curriculum Mining Method for Clustering Study Modules and Assessing their Uniqueness.
Benjamin MatthiesJulian KochKathrin MaassenAndré ConersPublished in: ECIS (2022)
Keyphrases
- clustering method
- experimental study
- high accuracy
- clustering algorithm
- similarity measure
- study proposes
- cost function
- dynamic programming
- similarity function
- mutual information
- simulation study
- unsupervised learning
- high precision
- unsupervised clustering
- regression analysis
- sequential patterns
- synthetic data
- input data
- feature set
- pairwise
- objective function
- face recognition