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
pca-test
- PCA简单实现,自己引用数据,能出两个基本指标图-PCA simple implementation code, their own reference data, to a data map, Q statistics and T2 statistic diagram
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
released
- 本文件是我自己写的决策树的一个例子,很适合初学者学习,用决策树分类,实现很简单-This document is an example of the decision tree of my own writing, it is suitable for beginners to learn, decision tree classification, to achieve a very simple
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.
k-means-Clustering
- simple k-means implementation with Persian comments
PCA
- 简单PCA算法的matlab实现,两种途径-Simple PCA algorithm of matlab, two different ways
AgeEstimate
- 用bp神经网络估计鲍鱼年龄的简单小程序,包含8个输入特征,内含数据-A simple program utilizing BP neural network to estimate the age of abalone
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.
fcm2
- 简单的模糊c均值的matlab程序,希望对大家有所帮助,如有不对,请告知。-Simple fuzzy C mean Matlab procedures, we want to help, if there is wrong, please let us know.
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
recommendations
- Python编写简单的推荐系统,供初学者使用-Python written in a simple recommendation system for beginners
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.
