Combining Multi-layer Perceptron and K-Means for Data Clustering with Background Knowledge.
Donghai GuanWeiwei YuanYoung-Koo LeeAndrey GavrilovSungyoung LeePublished in: ICIC (3) (2007)
Keyphrases
- data clustering
- background knowledge
- multi layer perceptron
- k means
- neural network
- artificial neural networks
- clustering algorithm
- spectral clustering
- domain knowledge
- cluster analysis
- logic programs
- radial basis function
- unsupervised learning
- prior knowledge
- support vector machine
- semi supervised clustering
- rough k means
- neural network model
- text clustering
- semantic information
- labeled data
- clustering method
- self organizing maps
- partitional clustering
- unsupervised clustering
- knowledge base
- databases
- neuro fuzzy
- image processing
- document clustering
- feature selection
- hierarchical clustering
- fuzzy c means
- genetic algorithm
- clustering quality
- pattern recognition
- data mining
- dimensionality reduction
- expectation maximization