CAJ | 학술논문

通过研究文本特征选取中权重的计算问题,提出了一种利用特征词的熵函数加权的权值的计算方法,不但考察了特征词的文档频数,而且考察了它们在文档中出现的次数,使选出的特征子集更具有较好的代表性.实验表明,改进后的算法对聚类结果有了一定的改进.
통과연구문본특정선취중권중적계산문제,제출료일충이용특정사적적함수가권적권치적계산방법,불단고찰료특정사적문당빈수,이차고찰료타문재문당중출현적차수,사선출적특정자집경구유교호적대표성.실험표명,개진후적산법대취류결과유료일정적개진.
By studying the text feature selection in the weight calculation problem,a calculation method of the word entropy weighted was proposed.Not only examines the characteristics of the document frequency,but also examines them in a document the number of occurrences.This selected feature subset is more good representation.Experiments show that the improved algorithm for clustering results have certain improvements.