MCSS: a new algorithm for perception of maximal common substructures and its application to NMR spectral studies. 1. The algorithm.
Lingran ChenWolfgang RobienPublished in: J. Chem. Inf. Comput. Sci. (1992)
Keyphrases
- computational complexity
- detection algorithm
- worst case
- high accuracy
- search space
- optimization algorithm
- neural network
- recognition algorithm
- matching algorithm
- objective function
- k means
- expectation maximization
- selection algorithm
- classification algorithm
- computationally efficient
- simulated annealing
- computational cost
- dynamic programming
- cost function
- preprocessing
- decision trees
- linear programming
- np hard
- segmentation algorithm
- hidden markov models
- bayesian networks
- path planning
- similarity measure