资源列表
Relief
- Relief算法是一种特征权重算法,可以用于特征选择-Relief algorithm is a feature weighting algorithm，which can be used for feature selection
FDSFDS
- 绝对是就是地方就是案发地方撒廊坊欧式是大家发乐视-Is definitely the place where the crime is spreading Langfang Continental is everyone made music as
fuzzy
- 模糊聚类分析是根据客观事物间的特征、亲疏程度、相似性，通过建立模糊相似关系对客观事物进行聚类的分析方法。-Fuzzy clustering analysis based on objective characteristics, the degree of relatedness, similarity, through the establishment of fuzzy cluster analysis method of objective things.
belajar_decision_tree
- Decision Tree Classifier applied on standard Iris dataset using Python.
kernelpca_tutorial
- 基于R语言的kernel矩阵生成代码，已包含高斯核，可以修改核函数-R language based on the kernel matrix generation code, has included the Gauss kernel, you can modify the kernel function
Recommender
- 基于MovieLens数据，通过计算余弦相似度，Python语言构建的一个简单协同过滤推荐系统，并给出RMSE等测评结果-Based MovieLens data by calculating the cosine similarity, Python language to build a simple collaborative filtering systems, and the like are given RMSE uation results
svr-kernel-function-version
- 用matlab实现了支持向量回归，并且使用了核函数，对于各种维度的数据均可使用-Using matlab to achieve an SVR, and uses kernel functions for the various dimensions of the data can be used
CARS_Characteristic-band-extraction
- 特征带提取算法，可以很好地提取有用的频带，结果更为准确，CARS_Characteristic带提取.m为主程序，调用程序中的压缩包。-Feature band extraction algorithm, can be a good extraction of useful bands, the results are more accurate, CARS_Characteristic band extraction.m for the main program, call the progr
Estimation-Method
- 聚类 分类的各种评价标准 Rand index Adjusted Rand index Mirkin index Hubert index-Various uation criteria clustering classification Rand index Adjusted Rand index Mirkin index Hubert index
SVM_GUI_3.1[mcode]
- faruto编写的基于libsvm3.1的SVM_GUI，可用于SVM分类及相关回归分析，已经集成了GA及PSO参数寻优算法及PCA算法，提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1，using the GA and PSO algorithm to improve
BPFPA-for-cluster-analysis
- 花粉授粉聚类算法,实现多种数据集测试，聚类效果相比更优秀-Flowes Pollination clustering algorithm
code
- （神经网络）多个隐含层的多层感知器网络训练数据得到网络，并使用测试数据统计所设计多层感知器的平均识别正确率-Multi layer perceptron network training data with multiple hidden layers is obtained, and the average recognition accuracy of the multi-layer perceptron is designed by using the test data statisti