The Empirical Study of Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction.
Ali ArshadSaman RiazLicheng JiaoAparna MurthyPublished in: IEEE Access (2018)
Keyphrases
- empirical studies
- fuzzy c means
- semi supervised
- k means
- clustering algorithm
- clustering method
- fuzzy clustering
- fcm algorithm
- fuzzy c means clustering
- hard c means
- fuzzy clustering algorithm
- semi supervised clustering
- constrained clustering
- real world data sets
- unsupervised clustering
- fuzzy clustering algorithms
- empirical analysis
- possibilistic clustering
- unsupervised learning
- soft clustering
- cluster analysis
- cluster centers
- software development
- instance level constraints
- validity measures
- software quality
- cluster validity index
- document clustering
- high dimensional data
- safety critical
- gustafson kessel
- supervised learning
- labeled data
- semi supervised learning
- data points
- image segmentation
- source code
- software systems
- data clustering
- pairwise constraints
- clustering analysis
- data sets
- artificial intelligence
- pairwise
- active learning