Research Article
Research on Data Analysis of Traditional Chinese Medicine with Improved Differential Evolution Clustering Algorithm
Algorithm 1
Improved differential evolution clustering algorithm.
| Input: Data set D = {d1, d2, …, dn} | | Output: The optimal clustering | | Begin | (1) Initializing the population and parameters; | (2) Evaluating fitness of population and keeping optimal value; | (3) Do | (4) Calculating the indicator of population diversity; | (5) Guiding all individuals to perform mutation operation; | (6) Performing cross operation; | (7) | Performing selection operation; | (8) | Updating the population; | (9) Keeping the current optimal value; | (10) While (Not the optimal solution or the maximum number of iterations) | | End |
|