搜索资源列表
C45Driver
- C45驱动，数据挖掘算法之一。供大家学习与参考。-a data mining algorithm that helps us to learn data mining very well.
GradeDM
- 基于数据挖掘算法的成绩分析系统 本系统运用J2EE技术架构，采用SSH + Ajax架构设计，选用B/S模式设计方案，使用MVC设计思想进行开发；同时采用SQL SERVER2000数据库管理系统对后台数据库进行管理-Application and Implementation of Data mining algorithms in the analysis of students’ Scores
K-means
- kmeans算法， K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果-kmeans algorithm, K-means algorithm is the most classic divide-based clustering method is one of the top ten classical data mi
kmeans
- 数据挖掘算法当中的去噪声的kmeans算法，java实现-Data mining algorithms-Noise kmeans algorithm, java implementation
fpgrowth
- 基于模式增长的数据挖掘算法，比Apripor更快速-Growth pattern-based data mining algorithms, faster than Apripor
java_apriori
- 数据挖掘算法 之 apriori算法 。非常经典的算法，值得学习参考。-The data mining algorithms apriori algorithm. Very classic algorithms, it is worth learning reference.
Kmeans
- K-均值聚类算法，是一种随机选取数个数据中心进行点聚类处理进而生成分类的数据挖掘算法，具有很好的学习功能。-K-means clustering algorithm is a randomly selected number of data center point clustering process thereby generating classification data mining algorithms, with good learning function.
6ce633e678ee
- ID3和C4.5算法的java实现 数据挖掘算法-ID3 C4.5
paper
- 基于apriori的数据挖掘算法,用java语言实现。数据库用的是mysql。-Data mining algorithm based on apriori, using java language. Database using mysql.
two_phase
- 数据挖掘算法-频繁项集挖掘算法-two phase算法-Data mining algorithms- frequent itemsets mining algorithm-two phase algorithm
fpgrowth
- 数据挖掘算法-频繁项集挖掘算法-FP-Growth算法-Data mining algorithms- frequent itemsets mining algorithm-FP-Growth algorithm
cfpgrowth
- 数据挖掘算法-频繁项集挖掘算法-CFPGrowth算法-Data mining algorithms- frequent itemsets mining algorithm-CFPGrowth algorithm
hmine
- 数据挖掘算法-频繁项集挖掘算法-HMine算法-Data mining algorithms- frequent itemsets mining algorithm-HMine algorithm
hui_miner
- 数据挖掘算法-频繁项集挖掘算法-HUI-Mimer算法-Data mining algorithms- frequent itemsets mining algorithm-HUI-Mimer algorithm
Kmeans
- Kmeans数据挖掘算法实现,用于分类,处理的是CSV数据-Kmeans data mining
Aprior
- 完成关联规则的数据挖掘算法。一个核心类，一个工具类，一个测试类，更具支持度、置信度和规则得到推荐值-To complete the data mining of association rules algorithm.
ID3
- ID3算法用java代码实现，代码能够直接运行数据挖掘算法-JD3 about java which can be used with the learning machine
KmeansinJava
- Java代码实现数据挖掘算法，kmeans-Java code to implement data mining algorithms, kmeans
knn
- 运用java 语言简单实现knn算法，邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一(Using java language simple implementation of KNN algorithm, neighbor algorithm, or K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simples
Knn算法——数据挖掘
- 可以运用该程序使用Java语言编程实现对数据的分析和深度挖掘(You can use this program to use Java language programming to achieve data analysis and depth mining)