An algorithm for discovering clusters of different densities or shapes in noisy data sets.
Fereshte KhaniMohammad Javad HosseiniAhmad Ali AbinHamid BeigyPublished in: SAC (2013)
Keyphrases
- data sets
- detection algorithm
- optimal solution
- learning algorithm
- input data
- worst case
- computational complexity
- k means
- dynamic programming
- expectation maximization
- preprocessing
- cost function
- em algorithm
- matching algorithm
- data clustering
- hierarchical clustering
- simulated annealing
- np hard
- noisy data
- fuzzy clustering
- synthetic datasets
- cluster centers
- noise free
- initial set