A clustering method of Chinese medicine prescriptions based on modified firefly algorithm / 中国结合医学杂志
Chinese journal of integrative medicine
;
(12): 941-946, 2016.
Artículo
en Inglés
| WPRIM
| ID: wpr-229520
ABSTRACT
This paper is aimed to study the clustering method for Chinese medicine (CM) medical cases. The traditional K-means clustering algorithm had shortcomings such as dependence of results on the selection of initial value, trapping in local optimum when processing prescriptions form CM medical cases. Therefore, a new clustering method based on the collaboration of firefly algorithm and simulated annealing algorithm was proposed. This algorithm dynamically determined the iteration of firefly algorithm and simulates sampling of annealing algorithm by fitness changes, and increased the diversity of swarm through expansion of the scope of the sudden jump, thereby effectively avoiding premature problem. The results from confirmatory experiments for CM medical cases suggested that, comparing with traditional K-means clustering algorithms, this method was greatly improved in the individual diversity and the obtained clustering results, the computing results from this method had a certain reference value for cluster analysis on CM prescriptions.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Farmacología
/
Prescripciones de Medicamentos
/
Algoritmos
/
Medicamentos Herbarios Chinos
/
Análisis por Conglomerados
/
Reproducibilidad de los Resultados
/
Bases de Datos como Asunto
Tipo de estudio:
Estudio pronóstico
Idioma:
Inglés
Revista:
Chinese journal of integrative medicine
Año:
2016
Tipo del documento:
Artículo
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