资源列表
chapter15
- SVM的参数优化——如何更好的提升分类器的性能-SVM parameter optimization- how to better enhance the performance of the classifier
chapter16
- 基于SVM的回归预测分析——上证指数开盘指数预测.-SVM regression analysis to predict based on- the Shanghai Composite Index opened Index Forecast.
chapter17
- 基于SVM的信息粒化时序回归预测——上证指数开盘指数变化趋势和变化空间预测-SVM regression prediction based on information granulation timing- the Shanghai Composite Index opened index trends and changes in spatial prediction
chapter20
- LIBSVM-FarutoUltimate工具箱及GUI版本介绍与使用-LIBSVM-FarutoUltimate toolbox and GUI versions introduction and use
dbscan
- DBSCAN(Density-Based Spatial Clustering of Applications with Noise)是一个比较有代表性的基于密度的聚类算法。与划分和层次聚类方法不同，它将簇定义为密度相连的点的最大集合，能够把具有足够高密度的区域划分为簇，并可在噪声的空间数据库中发现任意形状的聚类。 -DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a more represent
Kmeans_VS_EM_OnLaborDataSet
- 使用著名的数据挖掘和机器学习软件WEKA，在标准数据集labor上，比较Kmeans与EM算法。-Use well-known data mining and machine learning software WEKA, on standard data sets labor, relatively Kmeans with EM algorithm.
boost
- 介绍boost算法的原理及其变种，对于学习分类算法很有帮助。-Introduce the principle of the algorithm and its variants boost, helpful for learning classification algorithm.
note-of-ml
- 斯坦福大学机器学习课程讲义，深入浅出、内容丰富-Stanford university machine learning course notes, simple and rich in content
kicr
- 间歇控制过程的代码，均可以运行。详细讲述了一个例子来龙去脉，简单易懂，是学习控制科学的难得资料。-Intermittent control code process can run. An example of a detailed account of the ins and outs, easy to understand, is to learn to control valuable information science.
KIC_ILC_shuoming
- 对第一、二部分是学习迭代过程的一个好的解释，是我们程序的一个说明性文件。-On the first and second part of the iterative process of learning a good explanation, is a descr iptive file of our program.
FastICA_25
- 快速间歇控制的程序，是比较优化的一种算法，希望能和大家多多交流-Rapid intermittent control procedures, is a more optimal algorithm, and we hope more exchanges
KICAsuanfa
- KICA算法的一个简单程序，这是个人的一点想法，运行效果不错，大家可以验证一下。-A simple program KICA algorithm, which is a personal little idea, run good results, we can verify it.