Applying K-harmonic means clustering to the part-machine classification problem.
Alper ÜnlerZülal GüngörPublished in: Expert Syst. Appl. (2009)
Keyphrases
- unsupervised learning
- classification accuracy
- clustering algorithm
- machine learning
- support vector machine svm
- image classification
- automatic classification
- unsupervised classification
- feature space
- unsupervised clustering
- class labels
- categorical data
- high dimensionality
- classification process
- machine learning methods
- classification method
- decision rules
- microarray data analysis
- pattern recognition
- text classification
- clustering method
- pattern classification
- classification systems
- supervised classification
- classification rate
- support vector
- k means
- supervised learning
- model selection
- training set
- nearest neighbor classification
- text clustering
- clustering analysis
- decision trees
- data mining
- classification scheme
- feature vectors
- fuzzy clustering
- data clustering
- classification algorithm
- text categorization