搜索资源列表
Clustering
- In multivariate statistics and the clustering of data, spectral clustering[1] techniques make use of the spectrum (eigenvalues) of the similarity matrix of the data to perform dimensionality reduction before clustering in fewer dimensions. The simila
DataSet
- 这是在机器学习、人工智能、数据挖掘中经常用到的数据集,聚类分析也经常用,包括:UCI的数据集wine,yeast,iris等,还有USPS数据集,4k2_far,leuk72_3k数据集等。-This is in machine learning, artificial intelligence, data mining frequently used data sets, cluster analysis are often used, including: UCI datasets wine
cumulate
- 多层次关联规则挖掘算法:cumulate 可以支持跨层的关联规则挖掘。数据集为T10I4D100K,概念层次树有10个根节点,分三层。-Multi-level association rule mining algorithm: cumulate to support cross-layer association rule mining. Dataset T10I4D100K, has 10 concept hierarchy tree root, divided into three lay
naive bayes algorithm
- implementation of naive bayes algorithm with example dataset
naive bayesian algorithm
- implementation of naive bayes algorithm with example dataset
Clustering-Algorithms
- 在众多聚类算法中,基于划分的模糊聚类算法是模式识别中最常用的算法类型之一.至今,文献中仍不断 有关于基于划分的模糊聚类算法的研究成果出现.为了能更为系统和深入地了解这些聚类算法及其性质,本文从改 变度量方式、改变约束条件、在目标函数中引入熵以及考虑对聚类中心进行约束等几个方面,对在 C-均值算法的 基础上得到的基于划分的模糊聚类算法作了综述和评价,对各典型算法的优缺点进行了实验比较分析.指出标准 FCM算法被广泛应用的原因之一是它对数据的比例变化具有鲁棒性,而其他类似的算法对这种
BJ-OMH-innerhouse-map-dataset
- 北京欧美汇商铺的室内地图数据。包含属性数据和矢量数据。-Beijing ECMall shops indoor map data. Contains attribute data and vector data.
TscExcelExport
- This TscExcelExport component is an advanced, powerful but easy to use component which enables you to export all records of a dataset from Borland/Codegear/Embarcadero Delphi to Microsoft Excel. Many features are provided to change the layout, use co
dataset1
- 数据挖掘有用的数据集,java用的数据集-dataset,classification ,。。
DataSets
- 文本聚类用到的数据集,国外人提供的用于聚类算法-dataset,EMforSoftKmeans dataset Binary_1 Binary_2
dcm3DViewer
- 本程序可以从一定目录下搜索DICOM文件并构建3D图像,并且可以从3个维度显示图像。-The interactive viewer allows a user to select a folder with one set of dicom images. The viewer assembles the images in order and displays them as one 3D dataset. User can then scroll through and look at ax
readData
- C#用OleDbConnection读取数据库内容,先实例化OleDbConnection对象、OleDbDataAdapter对象和DataSet对象,然后用myConn.Open() 打开数据库,使用myCmd.Fill把数据读取到数据集合中,然后再从从数据集合中读取第一张表的数据,再使用foreach从表中一行一行读取数据,并写到listBox框中,最后使用myConn.Close() 关闭数据库连接。-C# utilizando OleDbConnection para leer el
tableInfo
- C#读取数据列属性,先来实例化OleDbConnection对象,实例化OleDbDataAdapter对象,实例化DataSet对象,打开数据库,把数据读取到数据集合中,使用DataTable dTable = dtSet.Tables[0] 从数据集合中读取第一张表的数据,从表中读取列的属性,并写到listBox框中,最后别忘了关闭数据库连接-C# leer propiedades de la columna de datos, el primer objeto de crear una i
DataSet
- 几种UCI数据集,整理为excel格式,可以直接导入matlab中使用。-Several UCI datasets, finishing as excel format that can be used directly into matlab.
Bayes_Classifier
- Bayes classifier Step 1. : Generate an arbitrary 3-class dataset with bi-variate Gaussian distribution. Step 2. : If three arbitrary samples are given as follows, determine to which class (as each class is generated by Step 1) each sample s
Maximum-Likelihood-Estimation
- Maximum Likelihood Estimation Step 1. : Estimate the mean vector and covariance of an arbitrary 3-class dataset with bi-variate Gaussian distribution by maximum likelihood estimation An arbitrary 3-class dataset is given (by Dataset.mat) and t
kmean
- k-means for iris dataset
xxx
- 将dataset用输出流写入到Excel中-dataset Excel
OperateAccess
- 借助C#语言,实现Access数据库的访问,以OperateAccess类的形式发布,方便移植,代码注释明确。使用时直接包含该文件即可。 功能: 1.使用OledDb: using System.Data.OleDb 使用DataSet using System.Data 2.数据表Stu_Inf 为例【名字可以更改,表内容也可以随意写】 3.建立连接,返回记录,返回字段 3.插入 4.删除 5.查找、更新-With C# language, to achi
KNN-TOPN
- 以movielens为数据集写的TOP—N推荐系统,基于KNN算法-Write to movielens dataset TOP- N recommendation system, based on KNN algorithm