搜索资源列表
Myknn
- knn,即k最近邻算法是模式识别中的一种比较简单而经典的分类算法-Knn, or k-nearest neighbor algrithom, is a simple and classical classifier algrithom.
a-star-algorithm-implementation
- A* 算法可复用的实现(用了模板), 并配有几个简单例子-the implementation of A star algorithm with C++ template. some simple but classic problems solved with it is here too.
ICP
- a general ICP laser location algrithom with the laser data attached
MIMO-sphere-detection
- 一种高效的应用于MIMO检测的球形算法。适用于N-by-N QAM 调制。-an effective MIMO system deteciton algrithom ,which is applied to N-by-N transeiver with QAM modulatuion.
LEACH
- 本程序是经典的无线传感器网络的Leach协议。-The programe is classic la location algrithom.
CPP_GA
- 基于C++平台的遗传算法,互相学习,希望能给你有所帮助~-genetic algrithom based on CPP ,learning from each other
MyCompressPrj
- 一个LZSS 算法,采用 动态加载方式实现-A lzss algrithom, with LoadLibray .
bmh
- bm算法实现,及简单说明 bm算法实现,及简单说明-BM algrithom
TEEN
- 该算法是TEEN分簇路由算法,代码实现环境是matlab,代码中含有注释-This is TEEN algrithom, and it can be run on MATLAB, you can read the explation in the code
matlab-Kmeans
- 利用matlab实现kmeans聚类算法的简单实现代码-matlab kmens algrithom
genetic-algrithom-BP-
- BP神经网络和遗传算法的结合,根据输入和输出的value,不断对参数进行修正,确定拟合关系-BP neural network and genetic algorithm combination of value, according to the input and output, continuous parameter correction to determine the fitting relationship
libjpeg_turbo
- JPEG快速压缩算法,比普通算法快6倍-Fast Jpeg Compression Algrithom,6x faster than others.
tsp_ga
- matlab GA算法 解决 TSP问题(matlab GA TSP Genetic Algrithom)
Basin_Hopping_algrithom
- A new structure searching algrithom(if you want to find some structure, such as protein structure, cluster structure,material structure, it's very usefully for your research!)
基于Kalman滤波的神经网络快速学习算法及应用
- 一篇关于kalman滤波器论文,非常值得学习(a paper about kalman algrithom)
sample1
- 粒子群优化算法的一个应用,参考《智能算法30个案例》(anexample of the application of the pso algrithom)
adaboost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这 Adaboost Adaboost 些弱分类器集合起来,构成一个更强的最终分类器(强分类器)。(adboost cluster algrithom)
apriori
- Apriori算法是一种挖掘关联规则的频繁项集算法,其核心思想是通过候选集生成和情节的向下封闭检测两个阶段来挖掘频繁项集。而且算法已经被广泛的应用到商业、网络安全等各个领域。(Apriori algrithom use for clustering)
kmeans
- 算法接受参数 k ;然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足:同一聚类中的对象相似度较高;而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”(引力中心)来进行计算的。(kmeans algrithom use for clustering)
text_classification.tar
- 用python实现的问题分类算法,包括贝叶斯,svm,决策树,xgboost,对入门文本分类的同学有一定的帮助(text classification algrithom,include svm,dt,xgboost,bayes,that important to learner about text classification)