Evidence of the pharmacological activity of traditional Chinese medicine (TCM) provides the basis for clinical prescription. Study of the classification of Chinese medicines according to these activities is key to understanding the general active tendencies of medicinal prescriptions, exploring their material basis, investigating their properties and searching for their alternatives. Taking the herbal classic Shennong's Materia Medica Classic (Shennong Bencao Jing) for the data source, this paper studied the classification of Chinese medicines based on semi-supervised incremental clustering algorithm using "micro-cluster" concept in order to investigate the complex similarity among Chinese medicines. The results showed that 253 Chinese medicines were reasonably classified into 14 types, such as invigoration, clearing heat, diuresis, dredging blockages in the channels, treating gynecological conditions and treating strange diseases caused by ghosts. The results also showed that the other 112 Chinese medicines were classified into 112 individual types and the same high similarity to different known types was the main reason for this. The semi-supervised incremental clustering algorithm employed in the study had a high quality and a good development for clustering which is suitable for classification of Chinese medicines. This study illustrated the diversity of Chinese medicines and their complex similarities, thus aiming to provide innovative ideas and methods for related research.
The theory of four properties (Qi) and five tastes (Wei) is the core of the property theory of Chinese materia medica. It is known that Qi and Wei are associated with the pharmacological effects (Xiao) of herbs. This study took records of all 365 Chinese herbs in Shennong's Classic of Materia Medica (Shennong Ben Cao Jing) as the data resource and established a three-dimensional data cube, in the purpose of finding out and analyzing the frequent patterns and valued association rules of Qi, Wei and Xiao based on Apriori algorithm. The results of this study may give rise to innovative ideas and methods in research of traditional Chinese materia medica.
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