心理测评数据分类方法的比较与分析
he Comparison and Analysis of Classification Methods for Psychological Assessment Data
心理健康工作目前受到社会的广泛关注, 通过心理测评来判断个体心理特性已经成为当前前期心理干预的一项重要手段,而对心理测评数据的分类挖掘效果的好坏则成为心理测评效果的一个重要衡量标准。针对这一问题,本文对中国矿业大学大学生的心理测评数据进行实验研究,结合心理测评数据维度较高、形式离散和样本分布不均的特征,对当前较为常见了几类分类方法进行比较和分析,并提出适合该类数据的具体改进建议。
bstract-mental health is currently subject to extensive social concern. Applying the psychological assessment to determine the individual psychological characteristics has already become an important method for early psychological intervention; therefore, the efficiency of Psychological assessment data classification is an important measurement for the effect of psychological evaluation. To address the problem, the author has researched the psychological assessment data through experiment based on the evaluation of 455 students of China University of Mining and Technology. Because the psychological assessment data is characterized as higher dimensions, form discrete and uneven sample distribution, this article has compared and analyzed several common classification measurements, and then put forward the improved methods to suit the characteristics of the data sets.
曲颂
科学、科学研究教育
心理测评分类KNN算法SVM算法Bayes算法
Psychological assessmentClassificationKNN algorithmSVM algorithmBayes algorithm
曲颂.心理测评数据分类方法的比较与分析[EB/OL].(2011-02-18)[2025-08-06].http://www.paper.edu.cn/releasepaper/content/201102-356.点此复制
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