A method framework for identifying digital resource clusters in software ecosystems.
Martin KangGary F. TempletonEuntae Ted LeeSungyong UmPublished in: Decis. Support Syst. (2024)
Keyphrases
- main contribution
- experimental evaluation
- significant improvement
- high accuracy
- bayesian framework
- input data
- high precision
- probabilistic model
- computational cost
- preprocessing
- cost function
- prior knowledge
- software architecture
- pairwise
- synthetic data
- support vector
- computer systems
- analysis tool
- clustering framework
- segmentation method
- clustering method
- neural network
- support vector machine svm
- unsupervised learning
- software development
- medical images
- support vector machine
- k means
- digital libraries
- objective function
- face recognition