计算机技术与发展2011，Vol.21Issue(2)：223-225,233,4.
Kmeans聚类分析在形音字表音度中的应用
Application of Kmeans Clustering Analysis in Chinese Pronunciation Degree
摘要
Abstract
By analyzing the composition of the structure of modem Pinyin, Hanyu Pinyin for the Chinese pronunciation summed up the impact factor. Using computers to 3,500 in modern Chinese characters commonly used version of Chinese characters and Pinyin input table GB2312 proposed Kmeans clustering analysis based on the classification model. This model through the establishment of Tonal sound symbols and phonetic feature vector, using Kmeans cluster analysis method, will form words by phonetic sound level is divided into six levels, making each one sound within a word and phonetic form more similar degree of and close, and through each grade ( cluster of clusters) in the feature vector model of the size of the cluster results according to degree level phonetic sort. Present a new form of sound words classification model, form, sound character phonograrn sound analysis provides a new perspective.关键词
拼音/特征向量/Kmeans聚类分析/平方误差法则分类
信息技术与安全科学引用本文复制引用
车丽美,肖洋,王甦易,姜倩倩..Kmeans聚类分析在形音字表音度中的应用[J].计算机技术与发展,2011,21(2):223-225,233,4.基金项目
全国教育科学"十一五"规划教育部重点课题(DCA060097) （DCA060097）
