搜索资源列表
apriori
- 经典Apriori算法的优化，并在商场消费者消费数据集上进行测试，挖掘频繁模式-Optimization of classical Apriori algorithm, and tested in store consumer data sets, frequent pattern mining
2014-Science-clustering
- 2014年发表在Science中的一篇文章Clustering by fast search and find of density peaks，其中还包括了作者用到的数据集和MATLAB源程序-2014 published an article in Science Clustering by fast search and find of density peaks, which also includes the author used data sets and MATLAB sourc
matlab
- 用于SVM实现不同算法对不同数据集性能测试的MATLAB代码，包括离线，在线算法。-SVM implement different algorithms for different data sets to performance testing MATLAB code, including offline and online algorithms.
Top-10-Algorithms-in-Data-Mining
- 在2006年9月召开的ICDM会议上，邀请了ACM KDD创新大奖(InnovationAward)和 Top 10 Algorithms in Data Mining IEEEICDM研究贡献奖(Research Contributions Award)的获奖者们来参与数据挖掘10大算 法的选举，每人提名10种他认为最重要的算法-Classification，Statistical Learning，Top 10 Algorithms in Data Mining，material
my_apriori
- 该程序使用matlab，实现了经典的Apriori 算法，挖掘频繁项集。-The program uses matlab, realizing the classic Apriori algorithm for mining frequent item sets.
clsf_dpd1
- 基于粗糙集和遗传算法的属性约简，包含核及不可区分关系等求解-Attribute reduction based on rough sets and genetic algorithm, including nuclear and indistinguishable relationship to solve
fp_growth
- 数据挖掘的FPgrowth算法，快速的获得频繁项集-FPgrowth data mining algorithms, fast access to frequent item sets
user-based
- 使用的数据集是BX-CSV-Dump，基于用户的协同过滤，有详细代码注释-英语 Data sets used are BX-CSV-Dump, user-based collaborative filtering, a detailed code comments
CuCao2ClassTrain
- 基于粗糙集的分类规则提取和分类规则约简。首先进行粗糙分类器训练，然后将复杂的分类规则降维成简单的分类规则，但分类精度不变。-Rough classification learning rules are trained and extracted based on rough sets and complex classification rules are dimensionally reduced into simple classification rules, but the class
Apriori
- 数据挖掘中的经典算法apriori。输入项集和最小支持度，输出频繁项集。-Data Mining the classical algorithm apriori. Entry and set minimum support, output frequent item sets.
APriori
- 用于生成频繁项集，后续关联算法，希望能对大家有所帮助-Used to generate frequent item sets, the subsequent correlation algorithm, we hope to help
gplvm
- 这是一个用于高斯过程隐变量模型的工具箱，其中包含了MATLAB/C/PYTHON三种语言版本-As of July 2005 a C++ implementation of the GPLVM exists which has most of the flexibility of this software but runs much faster. However as of this time it cannot handle very large data sets as the spar
Cosine-cross-similarity
- 利用cosin余弦距离量化不同数据集间相似性测度的matlab函数-quantize the similarity between data sets using cosin distance
perceptron
- 使用matlab编写的感知机算法，并提供测试数据集，方便测试-Using matlab prepared Perceptron algorithms and provide test data sets, to facilitate testing
Sphere-Cover-Classifier-master
- 用matlab编程实现随机球覆盖集成分类器算法，首先在UCI数据集上得到很好的结果，然后在6个基因表达数据集通过一个案例说明。-Implement random ball cover integrated classifier algorithm using matlab programming, first get good results on UCI data set, and then in six gene expression data sets through a case des
DataMining
- 基于K-mean以及其他算法的数据挖掘，主要是乳腺癌数据集，附有数据集-Data mining based on K-mean, as well as other algorithms, mainly breast cancer data sets, with data sets
MLKNN
- 针对单标记学习算法KNN进行改进，适用于多标记数据集改造而成的多标记K临近算法。java代码-Improved learning algorithm for single marker KNN, suitable for multi-label data sets adapted multi-label K near the algorithm. java code
tfidf
- TFIDF algorithm to achieve, through the input data sets and keywords to get each keyword corresponding weights to achieve text classification TFIDF算法的实现，通过输入数据集和关键词来获取每个关键词对应的权重，实现文本分类-TFIDF algorithm to achieve, through the input data sets and
Read_LibSVM_files_in_R
- Read LibSVM files using R. LibSVM is a MATLAB based library of UCI repository Data Sets. You can convert the data sets to R using this code
Naive-Bayes
- Python实现朴素贝叶斯分类，即Naive Bayes Classifier（NB），数据集为pima-indians印第安人糖尿病数据集。-Python implementation naive Bayes classifier, i.e. Naive Bayes Classifier (NB), the data set is pima-indians Indians diabetes data sets.