搜索资源列表
kmeans
- k均值聚类方法。 在给定一个有n个对象的数据集，划分聚类技术将构造数据进行k个划分，每一个划分代表一个簇，k小于等于n。-k-means clustering method. Given a set of n objects data, dividing the data clustering techniques to construct k partitions, each partition represents a cluster, k less than or equal n.
study-SPSS16.0
- 对SPSS16.0的详细介绍，关于SPSS的学习方法及理论知识。-A detailed descr iption of SPSS16.0 on SPSS learning methods and theoretical knowledge.
a-decentralized-positioning-scheme
- 根据资料中的论文，部分编写了代码验证了该方案，实现了该定位方法的仿真。-According to the data in the paper, part of the proposed method is validated through the code, and realize the simulation of the positioning method.
PLS
- 偏最小二乘法（PLS）建模方法是集多元回归、典型相关分析及主成分分析的功能于一体的方法-Partial Least Squares
stft
- 利用时频分析的方法分析一段语音信号的时频特征，并进行降采样等处理，可直接运行-When the time-frequency analysis method to analyze the frequency of use of a voice signal characteristics, and down-sampling and other treatment, can be directly run
nnet
- nnet回归方法的matlab源代码,可用于高维数据的回归，里面含有全面的代码-nnet calibration code for matlab
bipls
- bipls变量选择方法的matlab代码，包括所有有关代码- bipls variable selection method matlab code, including all relevant codes
CliqueB
- 基于派系方法的社团结构划分算法，自己实现的，C++代码源程序。-A method of community structure based clique.
k-means-Java
- 用JAVA实现k-means算法，其中聚类方法使用余弦相似度,带运行界面。完美运行。-Using JAVA k-means algorithm, clustering method using the cosine similarity
VAR
- 时域模态分析方法中的多元自回归模型，用于识别结构的模态参数。-Multivariate autoregressive model of time domain modal analysis method, is used to identify structural modal parameters.
randomForest_4.6-7
- Random Forest在R软件上实现，可以更快速的分类，非常实用的方法-Random Forest on the R software, you can more quickly classified, very practical approach
lm
- 各种对图像的分类和聚类的方法，kmeas、knn、pca等，还有几种数据处理中的窗函数-Variety of image classification and clustering methods, kmeas, knn, pca, etc., there are several data processing window function
huxinxi
- 粗糙集互信息的约简代码。基于MATLAB。苗夺谦的论文的方法。-Mutual Reduction of rough set code information. Based on MATLAB. Methods Miao Duoqian papers.
3l_cvrp
- 介绍的是三维装箱和vrp结合的代码，使用粒子群和局部搜索结合的方法-3l_cvrp matlab
HCgai
- 贝叶斯网络结构学习爬山算法的改进方法，更准确-Improved Bayesian network structure learning climbing algorithm, more accurate
Rtree
- R树是GUTTMAN于1984年提出的最早支持有序扩展的对象存取方法之一，也是目前应用最为广泛的一种空间索引结构，该资料为其的应用。-R tree is one of GUTTMAN first proposed in 1984 to support an orderly expansion of the Object Access Method, is currently the most widely used of a spatial index structure for the app
xyle
- 拉普拉斯降维方法，是非线性数据降维方法，通过构建相似关系图来重构数据局部流形结构特征。-Laplace dimension reduction method is non-linear data dimensionality reduction method, by constructing a graph similar to reconstruct the structure of local manifoldof the data.
SVM
- 改程序可以实现基于支持向量机方法的径流中长期预报(A runoff forecasting method based on Support Vector Machines)
处理缺失数据的高级方法
- 数据探索分析中处理缺失数据的高级处理方法(Advanced processing methods for missing data processing in data discovery analysis)
discretization
- 多种连续变量离散化方法，并且对每种算法的原理进行介绍(A variety of discrete method of continuous variable and the principle of each algorithm is introduced.)