搜索资源列表
HumanInteractions1
- Human Interactions in C#
Bayes
- 做了C++的贝叶斯分类算法的实现，希望感兴趣的下载-Do realize C++ Bayesian classification algorithm want to download interesting
KNN
- 做了KNN分类算法的C++实现，希望感兴趣的下载-We do C++ KNN classification algorithm, and the hope of interest to download
Rtree
- R树是GUTTMAN于1984年提出的最早支持有序扩展的对象存取方法之一，也是目前应用最为广泛的一种空间索引结构，该资料为其的应用。-R tree is one of GUTTMAN first proposed in 1984 to support an orderly expansion of the Object Access Method, is currently the most widely used of a spatial index structure for the app
pca-hmmP
- 利用HMM算法来预测回转窑的喂煤量,以辅助工业现场的判断-Use HMM algorithm to predict the kiln feed coal to assist the industrial field judge
isodata-cluster
- isodata迭代自组织聚类算法源代码，直接运行，效果不错-Iterative Selforganizing Data Analysis cluster algorithm，source code without error
DBSCAN
- DBSCAN聚类算法源代码，c++编写，简洁清晰，打包为工程，直接运行-Density-Based Spatial Clustering of Applications with Noise，DBSCAN cluster algorithm source code
BP
- bp网络的测试代码，使用C++编程，已测试通过，希望对大家有用，多多提意见。-Bp network test code, using c++ programming, has the tests pass, hope useful for everyone, a lot of advice.
AprioriAlgorithm.tar
- apriori的c#实现代码，利用该算法实现频繁模式的挖掘和关联规则的发现，此经典算法的类接API可以嵌入到自己开发的应用程序中应用。-the complementation of Apriori algorithm using c#
dotnetWeka1
- C#和weka的混合编程，主要实现在C#中调用Weka工具包的功能。-Blending Program with C Sharp and weka tool.
Apriori
- 数据挖掘Apriori算法，产生频繁项集-Apriori data mining algorithms to generate frequent itemsets
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
PageRank_M
- 实现基本的pagerank算法，从文件中读取数据生成矩阵进行计算-Pagerank algorithm to achieve
my-k-means
- 这是一个k-means聚类算法，将一个四维量（比如有明确物理意义的花瓣长宽花萼长宽)按照几个中心点分成几类-This is a k-means clustering algorithm, a four-dimensional volume (such as a clear physical meaning petals calyx length and width aspect) is divided into several categories according to several ce
kmeansconsole
- k-means data and exemple
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.
multiverso-master
- Multiverso is a parameter server based framework for training machine learning models on big data with numbers of machines. It is currently a standard C++ library and provides a series of friendly programming interfaces. With such easy-to-use APIs, m
lightlda-master
- LightLDA is a distributed system for large scale topic modeling. It implements a distributed sampler that enables very large data sizes and models. LightLDA improves sampling throughput and convergence speed via a fast O(1) metropolis-Hastings algori
distributed_word_embedding-master
- The Distributed Word Embedding tool is a parallelization of the Word2Vec algorithm on top of our DMTK parameter server. It provides an efficient scaling to industry size solution for word embedding. -The Distributed Word Embedding tool is a paralle
distributed_skipgram_mixture-master
- The Distributed Multisense Word Embedding(DMWE) tool is a parallelization of the Skip-Gram Mixture [1] algorithm on top of the DMTK parameter server. It provides an efficient scaling to industry size solution for multi sense word embedding. -The Di