Quality-driven early stopping for explorative cluster analysis for big data.
Manuel FritzMichael BehringerHolger SchwarzPublished in: SICS Softw.-Intensive Cyber Phys. Syst. (2019)
Keyphrases
- cluster analysis
- big data
- data analysis
- early stopping
- cloud computing
- data mining
- big data analytics
- data management
- clustering method
- data processing
- business intelligence
- clustering algorithm
- social media
- hierarchical latent class models
- k means
- data visualization
- knowledge discovery
- unsupervised learning
- data mining techniques
- stochastic gradient descent
- computer vision
- support vector machine
- active learning
- machine learning