Impact of Cluster Validity Measures on Performance of Hybrid Models Based on K-means and Decision Trees.
Mariusz LapczynskiBartlomiej JefmanskiPublished in: ICDM (Workshops) (2013)
Keyphrases
- validity measures
- clustering analysis
- hybrid models
- k means
- clustering algorithm
- decision trees
- fuzzy c means
- data clustering
- clustering method
- cluster analysis
- hybrid model
- cluster centers
- hierarchical clustering
- fuzzy clustering
- neural network
- spectral clustering
- clustering quality
- initial cluster centers
- artificial neural networks
- machine learning
- clustering approaches
- knowledge discovery
- training data
- feed forward neural networks
- feature selection
- unsupervised learning
- data mining techniques