计算机技术与发展Issue(11)：99-102,107,5.DOI:10.3969/j.issn.1673-629X.2013.11.025
基于改进K-Means算法的教学反思文本聚类研究
Research on Text Clustering of Teaching Reflection Based on Improved K-Means Algorithm
摘要
Abstract
An accurate assessment of teaching reflection content is an important guarantee based on teachers' teaching reflection process to enhance their professional capabilities. Clustering the same theme of the teaching reflection text based on an improved K-Means algo-rithm,through given the initial cluster center K a value ranges,so that it can be automatically increased within the given range,during the clustering process,similarity threshold is introduced to limit the reflection texts' similarity ranges,realizing the teaching reflection text classification and the self-reflection text classification. The experiment result indicates the improved algorithm has a higher accuracy,bet-ter stability,and can accurately automatically classify according to the teaching reflection content.关键词
K-Means算法/文本聚类/教学反思/相似度/均值Key words
K-Means algorithm/text clustering/teaching reflection/similarity/means分类
信息技术与安全科学引用本文复制引用
何聚厚,范文静..基于改进K-Means算法的教学反思文本聚类研究[J].计算机技术与发展,2013,(11):99-102,107,5.基金项目
中央高校基本科研业务费专项资金(GK201002028) （GK201002028）
国家985优势学科“教师教育创新平台”项目(GJ9850104) （GJ9850104）
