搜索资源列表
SimulatedAnnealing
- 常用的数据挖掘算法之一，模拟退火算法，Simulated Annealing。-SimulatedAnnealing
Apriori_Csharp
- Apriori_Csharp源码，简单的数据挖掘算法。-Apriori_Csharp source, simple data mining.
Apriori
- apriori算法的实现,一种重要的数据挖掘算法.-apriorialgorithm
kmeans
- 该程序为用于数据挖掘算法中的基本方法基于密度方法-k_mean
6
- 基于FP-Tree 的最大频繁项目集挖掘及更新算法，这是在美国任教的韩佳伟教授发明的数据挖掘算法，非常经典，值得下载下来研究-FP-Tree based on the maximum frequent itemsets and updating algorithm, which is taught in the United States invented by Professor Han Jiawei data mining algorithms, very classic, worthy o
Apriori
- 此源码为经典Apriori算法，在VC++6.0环境下开发，对研究数据挖掘算法有很大意义。-The source for the classical Apriori algorithm, developed under VC++6.0 environment, the study of data mining algorithms have great significance.
dataMining
- 各类数据挖掘算法，需要的朋友可以下载供学习工作参考-All kinds of data mining source code
Algorithm_for_mining_fuzzy_association_rules_based
- 提出一种基于免疫原理的人工免疫算法,用于模糊关联规则的挖掘. 该算法通过借鉴生物免疫系统中的克隆选择原理来实施优化操作,它直接从给出的数据中,通过优化机制自动确定每个属性对应的模糊集合,使推导出的满足条件的模糊关联规则数目最多. 将实际数据集和相关算法进行性能比较,实验结果表明了所提出算法的有效性-An algorithm is proposed for mining fuzzy association rules based on immune principles , which is ma
Biclustering
- bi-cluster算法实现，主要应用于数据挖掘，生物信息的数据挖掘算法-The bi-cluster algorithm apply in the data mining area and bioinformatic area, which plays an important role.
CDataMin01(4-11)
- c++语言实现 数据挖掘算法，模拟数据挖掘过程-c++ language for data mining algorithms to simulate the data mining process
k-means
- 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。-K-means algorithm is based on the division of the classic clustering method, is ten classic one of data mining algorithm. K-means the
shujuwajue
- 数据挖掘算法的研究，找寻关联规则-Data mining algorithms, to find association rules gggggg
Apriori
- 数据挖掘算法包括Apriori算法源码，遗传算法，神经网络算法-Data mining algorithms Apriori K—means
matlab_tool_box_spider
- matlab部分数据挖掘算法实现，现在数据挖掘已被人们熟知，matlab对算法有着重要的作用-matlab part of the data mining algorithms, data mining has now been known, matlab has an important role in the algorithm
chengxu
- 决策树分类，id3算法，数据挖掘，以学生成绩为例-Decision tree classification, id3 algorithm, data mining, to student achievement, for example
DBSCAN
- 基于密度的数据挖掘算法，可以有效的去处噪声的干扰。-Clustering the data with Density-Based Scan Algorithm with Noise (DBSCAN)
decision-tree
- 决策树算法是利用最广泛的 数据挖掘算法之一-The decision tree algorithm is the most widely used data mining algorithms, one of...
datamining
- 数据挖掘算法C5.0的实现,对数据进行分类，使用VC++编写界面。-Data mining algorithm C5.0 implementation, data classification, using VC++ to write interface.
84391749CACC
- cacc算法实现决策树的生成，算法效率高，便于理解，是一种优良的数据挖掘算法-the cacc algorithm decision tree generation algorithm for high efficiency, ease of understanding, is an excellent data mining algorithms
K-means
- 数据挖掘中得k-均值算法的c++实现，可以使你对数据挖掘算法有个初步的了解。-k-means algorithm in data mining is achieved with c++ . Allows you to have a preliminary understanding of the data mining algorithms.