搜索资源列表
xy996844
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 lJSMXj 算法中的k均值聚类算法,模式识别大作业,在MATLAB rpFmNRI环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is lJSMXj classification algorithm in the k-means clustering algorithm, pattern recognition large
ygeaxkeh
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 eNmEfC 算法中的k均值聚类算法,模式识别大作业,在MATLAB uusgPBU环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is eNmEfC classification algorithm in the k-means clustering algorithm, pattern recognition large
r_aenkqbcg
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 bCMRJU 算法中的k均值聚类算法,模式识别大作业,在MATLAB cTQbzds环境下,性能优良。 -I write MATLAB program, just started to learn some data mining only, is bCMRJU classification algorithm in the k-means clustering algorithm, pattern recognition la
cfmatrix
- 这是混淆矩阵源代码,可以输出分类结果的混淆矩阵,用于模式识别,数据挖掘等。-this is cfmatrix code
Pattern-Classification
- 数据挖掘必备,matlab源码,模式识别多种分类器汇总,测试均能通过-Pattern Classification 2nd edition (Matlab code)
DM_BayesAndKNN
- C++实现数据挖掘的贝叶斯分类方法和k-近邻分类方法,有源码,有示例数据,有说明文档-C++ implementation of data mining methods and Bayesian classification k- nearest neighbor classification method, there is source code, sample data, documentation
DataTest
- 统计一亿个IP中每个出现的次数,找不到大数据之类的分类,只能选择数据挖掘-Statistics IP in one hundred million times each appears, can not find such a large data classification, data mining can only choose
hctsa-master
- matlab,时间序列分析,分类,数据挖掘,聚类-time series classification
datamining
- 这是一个数据挖掘的算法模型,可以实现多维度、多数据、多分类的数据分析。包含对样本和数据的预处理算法,LM神经网络算法和DT决策树算法,并对两种模型进行评价的算法。-This is a data mining algorithm model, you can achieve multi-dimensional, multi-data, multi-class data analysis. Including the preprocessing algorithm for samples and d
CART
- CART又名分类回归树;主要用于数据挖掘中的数据分类;(CART, also known as classification and regression tree, is mainly used for data classification in data mining;)
SVC
- 分类作为数据挖掘领域中一项非常重要的任务,它的目的是学会一个分类函数或分类模型(或者叫做分类器),而支持向量机本身便是一种监督式学习的方法(Classification mining is a very important task in the field, the purpose of it is to learn a classification function or classification model (or called classifier), and support vec
ABC_SVM
- svm算法,用于数据挖掘,分类。图像处理(SVM algorithm for data mining, classification. image processing)
kmediod
- k-mediod、knn、uci数据集。 数据挖掘、机器学习中的经典聚类、分类算法(K-mediod, KNN, and UCI data sets. Data mining and classical clustering and classification algorithms in machine learning)
lrogress
- 一种文本分类数据挖掘的技术,比较几种不同的文本分类方法,重点介绍熵,()
EVZX
- 几种数据挖掘中分类算法的介绍:sliq,sprint,cpar英文版的()
lapsvmp_v02
- lapsvm 方法,进行半监督学习,模式识别与数据挖掘,数据分类(lapsvm method,semi-supervised learning,label unlabel)
k-means
- Kmeans算法C++实现,Kmeans是数据挖掘的一种数据分类算法(kmeans algorithm achieved in C++)
9.Regression
- 神经网络分类以及python的一些数据挖掘的代码原理(They are very good!!!!!)
858060
- BP算法的C语言实现,可用于函数逼近,分类,数据挖掘应用等()
c4.5
- C4.5是一系列用在机器学习和数据挖掘的分类问题中的算法。C4.5的目标是通过学习,找到一个从属性值到类别的映射关系,并且这个映射能用于对新的类别未知的实体进行分类。(C4.5 is a series of algorithms used in machine learning)