A Comparative Study of KBS, ANN and Statistical Clustering Techniques for Unattended Stellar Classification.
Carlos DafonteAlejandra RodríguezBernardino Arcay VarelaIciar CarricajoMinia ManteigaPublished in: CIARP (2005)
Keyphrases
- pattern recognition
- artificial neural networks
- supervised classification
- unsupervised learning
- classification accuracy
- unsupervised classification
- knowledge base
- clustering algorithm
- machine learning
- k means
- knowledge based systems
- information theoretic
- feature extraction
- maximum entropy modeling
- classification models
- high dimensionality
- machine learning algorithms
- class labels
- automatic classification
- support vector machine svm
- decision trees
- feature vectors
- pattern classification
- genetic algorithm
- correspondence analysis
- unsupervised clustering
- classification scheme
- data clustering
- knowledge representation
- supervised learning
- statistical models
- feature set
- image classification
- machine learning methods
- document clustering
- statistical analysis
- density estimation
- data points
- statistical tests
- classification algorithm
- support vector
- multi layer perceptron
- resource constrained
- benchmark datasets
- knowledge acquisition