搜索资源列表
frar1.tar
- Reducer: Given a dataset and a file containing a reduct, this program outputs a new dataset containing only the attributes appearing in the reduct file. -Reducer : Given a dataset and a file containing a reduct. this program outputs a new dataset
rough-set-reduct
- 粗糙集中用于数据约简的算法的matlab源代码-Rough set theory for data reduction algorithm matlab source code
rstPawlak
- REDUCT_PAWLAK 基于Pawlak属性重要度的属性约简算法-Key property REDUCT_PAWLAK based on Pawlak Attribute Reduction Algorithm
IJCS_33_1_9
- 發現蟻群優化的分類規則和快速改進約簡算法-Classification Rule Discovery with Ant Colony Optimization and Improved Quick Reduct Algorithm
STUDENT-4th
- few papers of data mining
SFG
- 基于信息熵计算属性的信息增益，最终得到约简后的属性集，实现特征选择-Feature Selection based on information entropy gain, then the reduct of attributes are obtained.
rough-set-reduct-code
- 将core.txt文件放在C盘根目录下,然后打开matlab，点击“文件”-“打开”选中main.m文件，“运行”这个文件。 命令窗口马上就会显示出运行结果。 mm_Red.m为封装的盲目约简算法.返回值为约简结果. sxzyd_Red为封装的基于属性重要度约简算法.返回值为约简结果. bsjz_Red为封装的辨识矩阵约简算法.返回值为辨识矩阵和约简结果. cal_sig为封装的求属性重要度的函数。 max_min为封装的求属性度最大，划分个数
rough-set-reduct-and-get-rules-code
- 粗糙集的约简源码以及规则获取matlab 源代码，由老师编写，值得试用-Source code as well as the rules of the rough set reduction for matlab source code, prepared by the teacher, it is worth the trial
PCA
- 使用主成分分析对高维数据进行降维，程序包含了降维的过程和结果-Using PCA to reduct dimensionality for data. the program contains the process and solution.
Lem2
- Lem2 Algoritmc Comparison of LEM2 and a Dynamic. Reduct Classification Algorithm. Masters thesis by. Ola Leifler. Reg nr
粒矩阵属性约简的启发式算法
- 基于矩阵的运算， 属性约简，特征选择，能够快速的找出最小约简属性子集(Boolean matrix attribute reduction Matrix based operations, attribute reduction and feature selection can quickly find the minimal reduct subsets)
libsvm-3.1-[FarutoUltimate3.1Mcode]
- 态势要素获取作为整个网络安全态势感知的基础，其质量的好坏将直接影响态势感知系统的性能。针对态势要素不易获取问题，提出了一种基于增强型概率神经网络的层次化框架态势要素获取方法。在该层次化获取框架中，利用主成分分析(PCA)对训练样本属性进行约简并对特殊属性编码融合处理，将其结果用于优化概率神经网络(PNN)结构，降低系统复杂度。以PNN作为基分类器，基分类器通过反复迭代、权重更替，然后加权融合处理形成最终的强多分类器。实验结果表明，该方案是有效的态势要素获取方法并且精确度达到95.53%，明显优于
eemd
- EEMD分解，通过对信号进行分解重构实现降噪目的( Reduct the signal noise through the decomposition reconstruction)