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simalar
- 基于Python的单词相似度分析，通过分析一些大文本来判断测试文件中给出的单词相似度判断的准确率-Python-based word similarity analysis, by analyzing a number of large text files to determine the test given to determine the accuracy of word similarity
RRMSSDzipM
- RMSD: Root Mean Square Deviation 是一种在分子模拟及预测中非常常见的评价标准，通过Jacobi变换来的到一个大分子与目标分子的相似程度度。常用来评价一个三维结构的预测结果是是否足够准确.作者主页http://dillgroup.ucsf.edu/~bosco/压缩包里的html里还包含有Python代码 -RMSD: Root Mean Square Deviation is very common in molecular modeling and fore
Movielens-User_based-cf
- 利用python实现基于用户的协同过滤推荐，采用pearson相关系数计算相似度，加权平均预测分数-Users use python-based collaborative filtering recommendation, pearson correlation coefficient is calculated using the similarity, the weighted average prediction scores
cos
- 计算词向量间的余弦相似度，用于语义文本挖掘 。(Calculate the cosine similarity between word vectors for semantic text mining.)
EnglishChuLi
- 利用python编写的文本预处理的程序，包含了每一步的实现代码，分为删除标点符号、删除停用词、相似度计算、PCA降维、聚类以及可视化等，运行环境为pytharm，python3开发环境(The text preprocessing program written by Python contains every step of implementation code, which is divided into delete punctuation marks, delete stop word
TOPSIS-Python-master
- TOPSIS （Technique for Order Preference by Similarity to an Ideal Solution ）法是C.L.Hwang和K.Yoon于1981年首次提出，TOPSIS法根据有限个评价对象与理想化目标的接近程度进行排序的方法，是在现有的对象中进行相对优劣的评价。(The TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method was fi
模糊聚类分析法（python)
- 运用python进行模糊聚类分析步骤如下：建立数据矩阵；数据标准化；建立模糊相似矩阵；改造相似关系为等价关系；确定分类数(The steps of Python fuzzy clustering analysis are as follows: establishing data matrix; standardizing data; establishing fuzzy similarity matrix; transforming similarity relation into equiv