A combined algorithm for weighting the variables and clustering in the clustering problem.
Vladimir J. LumelskyPublished in: Pattern Recognit. (1982)
Keyphrases
- k means
- clustering method
- clustering algorithm
- data clustering
- hierarchical clustering
- fuzzy k means
- preprocessing
- similarity function
- synthetic datasets
- spectral clustering
- dynamic programming
- worst case
- clustering analysis
- detection algorithm
- optimization algorithm
- cluster centers
- parameter free
- cost function
- similarity measure
- rough k means
- clustering ensemble
- density based clustering
- density based clustering algorithm
- cluster analysis
- matching algorithm
- learning algorithm
- unsupervised learning
- computational cost
- experimental evaluation
- neural network
- outlier detection
- genetic algorithm
- feature selection
- hierarchical clustering algorithm
- search space
- np hard
- probabilistic model
- expectation maximization
- segmentation algorithm
- self organizing maps
- distance metric