Fitting conic sections to "very scattered" data: An iterative refinement of the bookstein algorithm.
Paul D. SampsonPublished in: Comput. Graph. Image Process. (1982)
Keyphrases
- input data
- iterative refinement
- data sets
- learning algorithm
- noisy data
- computational complexity
- database
- np hard
- detection algorithm
- prior information
- cost function
- preprocessing
- objective function
- high quality
- dynamic programming
- data reduction
- synthetic data
- data collection
- incomplete data
- expectation maximization
- original data
- high dimensional data
- single scan
- dimensional data
- neural network
- data structure
- data analysis
- data sources
- computational cost
- xml documents
- k means
- orthogonal basis
- optimization algorithm
- residual errors
- data mining
- information loss
- recognition algorithm
- data distribution
- matching algorithm
- association rule mining
- missing data
- knowledge discovery
- worst case
- em algorithm