A robust algorithm for automatic extraction of an unknown number of clusters from noisy data.
Hichem FriguiRaghu KrishnapuramPublished in: Pattern Recognit. Lett. (1996)
Keyphrases
- noisy data
- automatic extraction
- input data
- computational complexity
- memory requirements
- initial set
- noise tolerant
- noise free
- k means
- computationally efficient
- np hard
- cluster centers
- classification algorithm
- missing data
- clustering method
- optimal solution
- learning algorithm
- neural network
- learning from noisy data
- lower bound
- feature space
- clustering algorithm
- data mining