资源列表
iToolbox
- 选择偏最小二乘的最佳区间，提高预测精度，减小计算量-interval least Least Squares to reduce the computational work while keeping higher predictive accuracy
91939393
- 无线与网络,寻找节点之间的最短距离,选择最快的两点间道路()
incdemynh
- 无线与网络,寻找节点之间的最短距离,选择最快的两点间道路()
降维code
- 了解降维、特征筛选等基本原理 掌握PCA、SVD、LAD和NMF等算法实现及应用(Understand the basic principles of dimensionality reduction and feature selection Master the algorithm implementation and application of PCA, SVD, lad and NMF)
gpml-matlab-v3.4-2013-11-11
- Gaussian process for machine learning
my-k-means
- 这是一个k-means聚类算法，将一个四维量（比如有明确物理意义的花瓣长宽花萼长宽)按照几个中心点分成几类-This is a k-means clustering algorithm, a four-dimensional volume (such as a clear physical meaning petals calyx length and width aspect) is divided into several categories according to several ce
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
Matlab_adaboosttest
- adboost algorithm testing, useful and working
贝叶斯
- 贝叶斯分类器的分类原理是通过某对象的先验概率，利用贝叶斯公式计算出其后验概率，即该对象属于某一类的概率，选择具有最大后验概率的类作为该对象所属的类(The classification principle of Bias classifier is to calculate the posterior probability by using Bias's formula through the prior probability of an object, that is, the proba
libsvm-3.21.tar
- svm仿真,基于c语言的编写，可以用于matlab，python以及java等多种语言-simulation for svm
430734
- 一个用于支持向量机以及机器学习的软件机器源代码()
ICA
- 一种特征提取方法：独立成分分析（ICA)(A feature extraction method: independent component analysis (ICA))