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
Code-for-classification
- R语言分类算法，可以直接用，简洁方便，适合初学者-R language classification algorithm, can use directly, simple and convenient, suitable for beginners
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.
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
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
kmeans_demo
- 简单的k-means算法采用java语言实现，具有很高的学习价值-Simple k-means algorithm, using java language, learning a great help
maxminjulei
- 最大最小聚类算法改进，和书上的步骤完全一样，可以运行，简单-Maximum and minimum clustering algorithm improvements, and steps on the book exactly the same, it can run, simple
k-means-by-LR
- 标准的数据挖掘聚类算法 k均值聚类 k-means聚类 严格按照标准算法执行 简单高效-Standard data mining clustering algorithm k-means clustering In strict accordance with the standard algorithm is simple and efficient execution
CF
- 这是用matlab写的协同滤波算法主程序，程序简单，易于理解。可以应用于推荐系统-It is used to write collaborative filtering algorithm matlab main program, the program is simple and easy to understand. Recommended system can be applied。。。。。。