资源列表
edit_distance
- 字符串的编辑距离也被称为Levenshtein距离(Levenshtein Distance),一般用动态规划来实现。属于经典算法。-Edit distance of the string is also known as the Levenshtein distance (Distance Levenshtein), the general use of dynamic programming to achieve. Belong to the classical algorithm.
clustering
- R语言聚类算法,数据挖掘,可以直接运行!!欢迎下载-R language clustering algorithm, data mining, can be directly run!!!!!Welcome to download
PCA
- 这是基于MATLAB 的神经网络训练算法的源程序,希望对大家有用-This is based on the MATLAB neural network training algorithm source, we hope to be useful
Kmeans
- 直接输入图片,以及类别数,返回分类结果,聚类中心,跌代次数。-Directly enter the picture, as well as the number of categories, the classification result is returned, the cluster center, down the number of generations.
LogitTwice
- 基于逻辑回归的二分类算法代码,能很好的实现-Binary logistic regression based algorithm code, can achieve a good
kmeans_cq
- Kmeans算法的简单应用,根据重庆市各区经济情况聚类-Simple application Kmeans algorithm, according to the economic situation in the districts of Chongqing Cluster
Naive-bayes
- 本文以拼写检查作为例子,讲解Naive Bayes分类器是如何实现的。对于用户输入的一个单词(words),拼写检查试图推断出最有可能的那个正确单词(correct)。当然,输入的单词有可能本身就是正确的。比如,输入的单词thew,用户有可能是想输入the,也有可能是想输入thaw。为了解决这个问题,Naive Bayes分类器采用了后验概率P(c|w)来解决这个问题。P(c|w)表示在发生了w的情况下推断出c的概率。为了找出最有可能c,应找出有最大值的P(c|w),即求解问题-In this
SVD_EST
- 自行编写的加入噪声估计的KSVD去噪算法,利用SVD分解进行噪声估计- KSVD denoising algorithm to prepare the addition of noise estimation, the use of SVD decomposition noise estimation
Combination_prediction
- 组合预测模型,五个单项模型的组合预测模型和两个单项模型组合的预测模型-Combination forecasting
LassoBoosting
- lassoBoosting 自己实现的一个小程序,R语言版本的。比较简洁,适合理解这个算法-lassoBoosting own implementation of a small program, R language versions. Relatively simple for understanding the algorithm
Kmeans2_k2
- 对给定的一组数据点采用k均值进行划分,并用散点图表示了出来-A set of data points in a given using k-means partition, and a scatter diagram
belajar_decision_tree
- Decision Tree Classifier applied on standard Iris dataset using Python.