资源列表
adaboost
- 使用adaboosting算法来实现人脸识的功能-adaboosting face recognition algorithm
kde2d
- 二维高斯核函数重构 重构方法不依赖于参数化模型-2D Gaussian Kernel Reconstruction fast and accurate state-of-the-art bivariate kernel density estimator with diagonal bandwidth matrix. The kernel is assumed to be Gaussian. The two bandwidth parameter
Matlab_adaboosttest
- adboost algorithm testing, useful and working
apriori
- 数据挖掘 Apriori关联规则算法 产生频繁项集 完整，有数据、文档，源代码-Apriori association rule data mining algorithm produces frequent itemsets is complete, there are data, documentation, source code
yalemain
- 人脸识别，验证参数错误率，选择错误率小的参数 （对yale人脸库进行人脸识别），代码完整-Face recognition, validate parameter error rates, choose the parameters of the error rate is small (library of Yale face for face recognition), code integrity
jueceshu
- 数据挖掘，决策树算法（对天气状况影响运不运动进行决策），代码完整，附带数据。-Data mining, decision tree algorithm (weather affect shipment don t make decisions), code complete, the supplementary data.
adaboost
- 基于adaboost算法训练异常数据，进行数据挖掘，利用matlab进行编写。 -Training algorithm based adaboost abnormal data, data mining, using matlab be written.
enrichment.function
- 为基因序列进行富集功能分析，对具有已知功能的基因进行筛选并列出富集的基因-Functional analysis for gene array
kNN
- k近邻算法，可以简单准确的对数据，按照给定点与设定点的欧氏距离大小，进行分类-K nearest neighbor algorithm, can be simple and accurate data, in accordance with the set point to the point and the Euclidean distance of the set point size, classification
GA-BP
- 运用种群遗传算法优化BP神经网络的权值和阀值-The use of genetic algorithm optimization BP neural network weights and thresholds
MachineLearnngInActionandsourceCode
- 机器学习实战及配套Python代码,很好的入门书。-Machine Learning in Action. Source eode and book
treePlotter
- 决策树根据信息增益对数据进行分类，并且构造树的结构，输出结果易于理解-Decision tree based on information gain to classify the data, and construct the structure of the tree, the output result is easy to understand