搜索资源列表
K-Means
- K-MENAS算法是最简单的聚类算法，适合对于初学者的学习和改进使用-K-MENAS algorithm is a clustering algorithm is the most simple, suitable for beginners to learn and use improved
k-means-original
- k-menas算法是最简单的聚类算法，算法内详细介绍了各个函数和功能，对初学者很有借鉴意义-K-MEANS algorithm is one of the most simple clustering algorithm, there are different form, this is one of them, a reference for beginners
GSP
- 关于数据挖掘中的GSP算法，带简单的界面。可以运行，参数自己可以改一下-GSP on data mining algorithms with a simple interface. You can run, parameters that they can change it
ID3
- 数据挖据决策树算法ID3算法java实现，包含引用文件，简单易懂-Data Mining Decision Tree Algorithm ID3, simple and easy to understand by java, contains references to files
k-means-cluster
- 分类算法中k均值分类算法，可以用于简单的模式识别中去。-Classification algorithm of k-means classification algorithm, which can be used in a simple pattern recognition.
PCA
- 简单PCA算法的matlab实现，两种途径-Simple PCA algorithm of matlab, two different ways
SVM_liner_kernel
- 这是SVM算法的一个简单应用，用SVM进行线性二分类。此算法可以帮助大家从基础上认识SVM，从而进行编程。-This is a simple application of SVM algorithm, using a linear SVM binary classification. This algorithm can help you recognize the basis of SVM, which can be programmed.
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.
kmeans
- kmeans算法，简单实现，文件读入，读入文件为txt，数据用逗号隔开-kmeans algorithm, simple implementation, file reads, reads the file as txt, data separated by commas
project2
- 使用java语言实现的Apriori算法，简单使用，可以挖掘频繁项-implement Apriori algrithm with Java
k_means
- 用matlab实现的简单的k_means聚类算法，简单有效，已测试通过-K_means with a simple clustering algorithm matlab realized, simple and effective, have been tested
spectral
- 用matlab实现的谱聚类算法，简单实用，已测试通过-Using spectral clustering algorithm matlab realized, simple and practical, have been tested
apriori
- aprior算法的java实现，比较简单，能输出关联规则。经测试，可用。-apriori algorithm to achieve the java, is relatively simple and can output association rules. Tested and available.
DataMiningFPGrowth
- FP-Growth算法的java实现，简单易于理解。经测试，可用。不过不能输出关联规则。-FP-Growth algorithm to achieve the java, simple and easy to understand. Tested and available. But not output association rules.
FP-Growth
- fp-growth算法的c++实现，比较简单，但不能生成关联规则。-fp-growth algorithm c++ implementation, relatively simple, but can not generate association rules.
PerceptualHash
- 感知哈希算法简单实现，利用opencv实现均值哈希和p哈希算法。-Perception of hash algorithm is simple to implement, using opencv average hash and pHash algorithm.
lbp
- 实现了简单的LBP算法，基于opencv2.4.10-Implements a simple LBP algorithm, based on opencv2.4.10
kNN
- 使用python编写kNN算法，包括生成数据集，简单分类器，文本转换等简单算法。-Using python write kNN algorithms, including generating a data set, a simple classification, text conversion simple algorithm.
195263
- 一个判断输入的一个时间是否为瑞年的简单算法,也于大家分享吧！()
gemhyr
- 这是个很容易且广泛使用的简单算法,它基于Gary Miller的部分象法,有Michael Rabin发展,事实上,这是在()