资源列表
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.
HMM-self-program
- 隐马尔可夫模型的建立，最大概率的计算，数据的识别-The establishment of hidden Markov model, the calculation of maximum probability
SimulatedAnnealing
- 社会网络影响最大化问题中的模拟退火算法，是格局爬上算法的一种优化算法，用于社会网络分析.-Social network influence maximization problem in simulated annealing algorithm, is a kind of pattern climb algorithm optimization algorithm, for social network analysis.
degreediscountic2
- 改进的基于节点度的影响最大化算法，度打折是指，每一次迭代时，度的值会根据种子节点而发生变化。-Improved based on node degree maximization algorithm, and the influence of the degree of discount means that each iteration, the degree of value will change according to the seed node
data-mining_GRI
- GRI关联数据挖掘. GRI是关联规则的一种算法。很有用的。-GRI association data mining
08ClusAdvanced-1
- 综合介绍聚类分析的方法，从常用方法到高级方法-Overview cluster analysis, the common method to advanced methods
DataMining_Algorithm
- 详细的数据挖掘资料，包括各种常见的算法，有一定的深度-Detailed data mining information, including all common algorithms, there is a certain depth.
pca
- pca算法原理介绍和仿真代码，主要用于数据的聚类，代码时用于图像上的聚类过程，聚类效果很好，就是有点慢-pca algorithm introduces the principle and simulation code, mainly for clustering data, a clustering process images on-time code, clustering works well, is a bit slow
sklearn-tree-BN-knn
- 分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。 使用不同分析三种分类器在实验中的性能比较，分析它们的特点。 本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the dat
ID3-and-C4.5
- ID3 and C4.5, such as data mining algorithms for classification
build_a_decision_tree_base_CART.tar
- 这里是最基本的决策树实现的python方法，有详细的代码说明-Here is the basic method of decision tree python to achieve, a detailed code Descr iption
native-bayes-classifier
- 朴素贝叶斯算法的源代码实现，（含训练数据）-to achieve native bayes classifier