A comparative study of efficient initialization methods for the k-means clustering algorithm.
M. Emre CelebiHassan A. KingraviPatricio A. VelaPublished in: Expert Syst. Appl. (2013)
Keyphrases
- computationally expensive
- preprocessing
- complexity analysis
- lightweight
- computationally demanding
- database
- optimization methods
- cost effective
- benchmark datasets
- markov random field
- support vector machine
- video sequences
- reinforcement learning
- similarity measure
- website
- artificial intelligence
- machine learning
- databases
- real time