多元聚合分类方案

Multiple Aggregation Classification Method

取得对样品（或逆分析中的要素）的客观分类（型），对于提高天气预报的效果有着十分重要的意义，遗憾的是目前尚未见到能够获得合理分类结果的可行客观分类方法。本方案是以聚合为策略，以计算机为工具，通过逐次全面比较所给样本资料各种情况下的分类，试图在这方面进行的一项尝试，方案目前已取得下列成果：①提供出一种新的分类思路和方法；②分类客观且有较好的效果；③对小样本可确保取得合理分类。

Classifying samples into types is very important to the correctness of weather forecasts. It is the pity that there is probably no classificational methods which can be used to obtain a satisfactory result. The present paper attempts to have a try in this field by aggregating, computing and comparing various classifications with the given data. The results show that (i) it is a new type of classificational methods and (ii) it is objective and can be used to obtain fairly good results especially with small sample size.