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SVM
- In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is in
net_pb
- matlab的bp神经网络源程序，和数据库相连接。-matlab source of bp neural network, and databases connected.
FilterECG
- filter of ecg it has ecg databases
vbmatlab
- 使用MATLAB进行故障诊断与使用vb进行仿真校正~~里面提供了需要的数据库与数据，不好意思语句解释很少~~小弟也是初学者-Fault diagnosis using the MATLAB simulation corrected with the use of vb ~ ~ which provides the necessary databases and data, I am sorry statement to explain few ~ ~ little brother is also
CreateExemplars
- this source code find minimum,maximum ,mean and variance of image databases and store them in file named exemplars.mat
jiyumobandecaisetuxiangzidongpingjie
- 基于模版匹配的彩色图像自动拼接，上海交通大学内部数据库提供-Template matching based on color image mosaic, internal databases, Shanghai Jiaotong University
tuxiangpipeidejingdiansuanfahegaijin
- 图像匹配的经典算法和改进，上海交通大学内部数据库提供-Classical image matching algorithm and improved internal databases, Shanghai Jiaotong University
t_gbl
- simulink中调用网格数据双线性内插的解算函数，可根据不同数据库进行修改-mesh data in simulink calls solving bilinear interpolation functions, which can be modified according to different databases
ICA
- 这是可在多钟人脸数据库运行的matlab程序，基于ICA,可做学习用-This is a clock face in a multi-run matlab program databases, based on ICA, do learn to use
dbimportdemo
- matlab与数据库连接方法，通过ODBC/JDBC 接口访问具体的数据库 。-matlab with the database connection method, via ODBC/JDBC interface to access specific databases
recoverbits
- past when the sample data was collected, the future predictions can also be expected to be right. Application of machine learning methods to large databases is called data mining. The analogy is that a large volume of earth and raw material i
m_map1.4.tar
- 用于matlab 的地理分析包。 最新版，1.4f-M_Map is a set of mapping tools written for Matlab v5 and later. These include: Routines to project data in 19 different spherical projections (and determine inverse mappings) A grid generation routine to make nice axe
analyse
- principal component analysis+ databases
encryp
- two-dimensional maps on a torus or on a square to create new symmetric block encryption schemes. The schemes are especially useful for encryption of large amounts of data, such as digital images or electronic databases.
algorithms
- 分类算法是统计学分类方法，它是一类利用概率统计知识进行分类的算法。在许多场合，朴素贝叶斯(Naï ve Bayes，NB)分类算法可以与决策树和神经网络分类算法相媲美，该算法能运用到大型数据库中，且方法简单、分类准确率高、速度快。-The classification algorithm is the statistical classification, it is a knowledge of probability and statistics classification alg
matlab-data-mining
- 数据挖掘(Data Mining)阶段首先要确定挖掘的任务或目的。数据挖掘的目的就是得出隐藏在数据中的有价值的信息。数据挖掘是一门涉及面很广的交叉学科，包括器学习、数理统计、神经网络、数据库、模式识别、粗糙集、模糊数学等相关技术。它也常被称为“知识发现”。知识发现(KDD)被认为是从数据中发现有用知识的整个过程。数据挖掘被认为是KDD过程中的一个特定步骤，它用专门算法从数据中抽取模式(patter，如数据分类、聚类、关联规则发现或序列模式发现等。数据挖掘主要步骤是：数据准备、数据挖掘、结果的解释
fecg2
- This article is intended to be used by researchers a practical guide to NI-FECG signal processing, in the context of the above issues. It reviews recent advances in NI-FECG research including: publicly available databases, NI-FECG extraction te
ajss-3-2-3
- Apriori[1] is an algorithm for frequent item set mining and association rule learning over transactional databases. It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as
IRJET-V4I5669
- The Apriori algorithm was proposed by Agrawal and Srikant in 1994. Apriori is designed to operate on databases containing transactions (for example, collections of items bought by customers, or details of a website frequentation). Other algorithms ar