From Clusters to Content: Using Code Clustering for Course Improvement.
David JoynerRyan ArrisonMehnaz RuksanaEvi SalgueroZida WangBen WellingtonKevin YinPublished in: SIGCSE (2019)
Keyphrases
- clustering algorithm
- hierarchical clustering
- cluster analysis
- data clustering
- overlapping clusters
- k means
- document clustering
- clustering method
- unsupervised clustering
- fuzzy clustering
- agglomerative hierarchical clustering
- graph clustering
- clustering approaches
- hierarchical clustering algorithm
- incremental clustering
- data points
- density based clustering
- clustering scheme
- clustering framework
- soft clustering
- spatial clustering
- clustering quality
- intra cluster
- fuzzy k means
- density based clustering algorithm
- hierarchical agglomerative clustering
- model based clustering
- self organizing maps
- cluster centers
- disjoint clusters
- source code
- inter cluster
- fuzzy clustering algorithm
- agglomerative clustering
- arbitrary shape
- subspace clustering
- clustering procedure
- classical clustering algorithms
- homogeneous groups
- cluster structure
- constrained clustering
- validity measures
- cluster validation
- arbitrary shaped
- cluster validity
- kohonen self organizing maps
- validity indices
- similarity matrix
- fuzzy c means
- multimedia
- clustering ensemble
- affinity propagation
- high dimensional data
- data objects
- image segmentation
- web content
- unsupervised learning
- affinity measure
- clusters of arbitrary shapes
- outlier detection