资源列表
k--means-
- k-means算法的解释，采用txt中的数据进行分类-explanation of k-means algorithm, using the data in the classification txt
test1
- scikit-learn常用分类器的实例-Examples of commonly used scikit-learn classifier
banben2
- 汽车之家爬虫，爬取汽车之家上所有车型，保存为excel格式-Family car of the reptile, crawling on all models car home, save as excel format
KNN
- KNN算法，用于数据挖掘中数据离散化处理-K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning
neighborhood-classifier
- 依据Neighborhood classifier编写的.m程序-Metric space Neighborhood Rough set Reduction Classifier Norm
neighborhood-mu-info
- 基于邻里互信息特征的评价与选择,数据挖掘，Matlab平台-neighborhood mutual information based feature uation and selection
k-means
- k-means算法实现，能够直接导入直接运行，对学士有很大的帮助-k means algorithm, you can run
kmeans_demo
- 简单的k-means算法采用java语言实现，具有很高的学习价值-Simple k-means algorithm, using java language, learning a great help
TLBOmain
- 教与学算法的matlab基本程序，可根据自身要求进行修改。-Teach Learning-based Optimization
python-quantitive
- python 分类算法量化投资 SVM 神经网络算法 沪深300指数-python classification algorithm quantitative investment
Kmedoids
- 实现K-medoids模糊聚类算法，增加聚类有效性-K-medoids fuzzy clustering algorithm to achieve, increase the effectiveness of clustering
GoogleNormalDistanceCalculator
- 计算两个词语的google相似度，即google normal distance-To calculate the distance between two words with google normal distance algorithm.