搜索资源列表
AdaBoost
- 用python实现的AdaBoost分类算法，文件是一个ipython notebook，可以直接用ipython/jupyter打开使用。内附简单测试数据集。 程序运行需要numpy库的支持。-An AdaBoost classifier implemented with Python.
Desktop
- K均值聚类算法，对风电机组功率数据进行聚类分析，包括详细的程序说明。 只要把这两个文件放入一个空文件夹下，在MATLAB中执行m文件，就可得到聚类结果。-K-means clustering algorithm, the wind turbine power data clustering analysis, including a detailed descr iption of the procedures. As long as these two files into an empt
sparse-subspace-clustering
- 关于稀疏子空间聚类的算法程序实现，及对应的论文，matlab源码实现。-On sparse subspace clustering algorithm procedures, and the corresponding paper, matlab source code.
short-distance
- 本程序使用遗传算法实现了最短路径，而且本文代码是matlab代码。-matlab code of ...
B10681002fj
- 低秩谱聚类分析包括2015年研究生数学建模B题的论文及相关程序，做的不好，但可供参考。开发平台是matlab-Low rank spectral clustering analysis includes the papers and related procedures of the research on the mathematical modeling of B in 2015. Development platform is matlab
my_apriori
- 该程序使用matlab，实现了经典的Apriori 算法，挖掘频繁项集。-The program uses matlab, realizing the classic Apriori algorithm for mining frequent item sets.
xin-k-means
- 此程序中直接是关于具体数据的聚类划分，直接给出相应的数据。-This program is directly of clustering on specific data directly gives the corresponding data
UQ-PyL_Linux.tar
- 优化计算程序包,适用于水文及生态模型的优化计算及参数校准。-Uncertainty quantification (UQ) refers to quantitative characterization and reduction of uncertainties present in computer model simulations. It is widely used in engineering and geophysics fields to assess and predict t
AprioriAlgorithm.tar
- apriori的c#实现代码，利用该算法实现频繁模式的挖掘和关联规则的发现，此经典算法的类接API可以嵌入到自己开发的应用程序中应用。-the complementation of Apriori algorithm using c#
voice_identify
- 语音识别代码,平台为LDV7+SYN6288的语音识别驱动程序，本程序为口令模式。-voice identify
learn_struct_K2
- 本程序是贝叶斯网络结构学习的K2算法程序，可获取离散变量的贝叶斯网络-This procedure is K2 Bayesian network structure learning algorithm program, available discrete variables Bayesian Network
example_DAGlearn
- 程序是基于图论 , 对后验概率提取参数,使得很好的描述贝叶斯网络中变量之间的依赖关系-Program is based on graph theory, the extraction parameters on the posterior probability of such a good descr iption of the dependencies between variables in a Bayesian network
minimum_spanning_tree
- 本程序是基于最小洗漱树的分类器 可得到分类效果不错的分类器-This procedure is based on a minimum wash tree classifier good classification results obtained classifier
WordCount2
- 基于hadoop1.x的wordcount程序，jar包是全的，只要设置一下即可使用-a word count program depend on hadoop 1.x with all jar files needed,easy to use
SVM
- SVM多分类算法的一些程序，有很多种类型，包括经典的四种工具箱，还有代价敏感支持向量机，超球面支持向量机等-Some programs about SVM multi-classification algorithm, there are many types, including the classic four toolbox, as well as the price-sensitive support vector machine, hypersphere support vector
SPPP3.0
- 包含了信号处理的各种算法程序,如传统的傅里叶变换等时域和时频域分析。-Contains a variety of signal processing algorithms
LSSVM
- 最小二乘支持向量机，程序粘到command window里，设定 2 两个参数，可以更改，以达到最优化-igam=0.001 isig2=0.001 [gam,sig2]=tunelssvm({X,Y, f ,igam,isig2, RBF_kernel },... [0.001 0.001 10000 10000], gridsearch ,{}, leaveoneout_lssvm ) type= function approximation kernel= RBF_
neighborhood-classifier
- 依据Neighborhood classifier编写的.m程序-Metric space Neighborhood Rough set Reduction Classifier Norm
TLBOmain
- 教与学算法的matlab基本程序，可根据自身要求进行修改。-Teach Learning-based Optimization
SVM_regression_1001
- 一种可以择优选择参数的SVM拟合回归程序，通过for循环，可以调节参数，调出误差最小的参数设置。有时候，默认的参数也会有很不错的精度。-One can choose the best parameters of the SVM fitting regression procedures, through the for cycle, you can adjust the parameters, minimize the error of the parameter settings. Somet