An empirical comparison between stochastic and deterministic centroid initialisation for K-Means variations.
Avgoustinos VourosStephen LangdellMike CroucherEleni VasilakiPublished in: CoRR (2019)
Keyphrases
- k means
- stochastic optimization problems
- stochastic methods
- clustering algorithm
- data clustering
- hierarchical clustering
- stochastic domains
- expectation maximization
- cluster analysis
- clustering method
- self organizing maps
- monte carlo
- spectral clustering
- fuzzy c means
- learning automata
- view angle
- variable weighting
- fully observable
- stochastic nature
- real time
- monte carlo sampling
- turing machine
- unsupervised clustering
- information systems
- data sets