An application of fuzzy c-means clustering analysis to classification of tobaccos based on their rare earth elements contents.
Yuan SunShiqiu SongGuoqing WangZhenxing LiZhengbo XuLifang WeiPublished in: FSKD (2010)
Keyphrases
- clustering analysis
- fuzzy clustering
- fuzzy c means
- clustering method
- clustering algorithm
- cluster analysis
- validity measures
- fuzzy clustering algorithm
- k means
- fuzzy c means algorithm
- fuzzy clustering algorithms
- fcm algorithm
- membership functions
- mercer kernel
- fuzzy theory
- cluster centers
- hard c means
- artificial immune network
- microarray
- data clustering
- data sets
- unsupervised learning
- data mining techniques
- fuzzy sets
- image processing
- knowledge base
- feature selection
- artificial intelligence
- learning algorithm
- machine learning