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- Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many d
imagelibto-c
- Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many d
MPI_HALLO_WORD
- Using MPI in .net application. Message Passing Interface (MPI) is an API specification that allows processes to communicate with one another by sending and receiving messages. It is typically used for parallel programs r
Clustering
- NetBeans Project that clusters documents according to similarity calculated by dice coefficient.
optics-VCPP
- Optics聚类算法 OPTICS没有显示地产生一个数据集合簇，它为自动和交互地聚类分析计算一个簇次序。这个次序代表了数据基于密度地聚类结构。它包含地信息，等同于从一个宽广地参数设置范围所获得的基于密度的聚类-Optics do not show clustering algorithm OPTICS to produce a collection of data clusters, it is automatically and in
LabVIEW-8.20-VI
- 第2章 牛刀小试 第5章 程序结构 第6章 字符串，数组，簇和矩阵 第7章 Chart图表和Graph波形图 第8章 Express VI 第9章 文件IO 第10章 子VI 第12章 人机界面交互设计 第13章 数学分析与信号处理 第14章 数据采集与仪器控制-Chapter 2 chopper small test Chapter 5 Program Structure Chapter 6 st
New-Text-Document
- User identification based on the feature extracvted using MFCC by measuring the Eucladien diatance between clusters
DBSCAN
- Density-Based Spatial Clustering of Applications with Noise (or DBSCAN) is an algorithm used in cluster analysis which is described in this Wikipedia article (http://en.wikipedia.org/wiki/DBSCAN). The basic idea of
10.1.1.74.8208
- Distributed Formation of Overlapping Multi-hop Clusters in Wireless Sensor Networks
RC4
- RC4-简介 RC4加密算法是大名鼎鼎的RSA三人组中的头号人物Ron Rivest在1987年设计的密钥长度可变的流加密算法簇。之所以称其为簇，是由于其核心部分的S-box长度可为任意，但一般为256字节。该算法的速度可以达到DES加密的10倍左右。 -RC4 RC4-profile RSA encryption algorithm is the famous trio of top man Ron Rivest i
FuzzyClusteringToolbox
- The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab functions. Its propose is to divide a given data set into subsets (called clusters), hard and fuzzy partitioning mean, that these transitions b
zibian-
- 自编的粒子群聚类的算法通过改进可以正常的进行点的筛选-Particle clusters self class of algorithms can be normal by improving the screening for point
clusters
- cluster ! General cluster !
cskmeans
- K-MEANS算法是输入聚类个数k，以及包含 n个数据对象的数据库，输出满足方差最小标准的k个聚类。 -K-MEANS algorithm is the input number of clusters k, and n a data object that contains the database and output to meet the standard minimum variance k-clustering.
2003HPC
- 2003 年中国科学院高性能计算培训班材料-2003 High Performance Computing, Chinese Academy training materials, MPI, Linux, Unix, Windows Clusters
m-files-(1)
- for finding clusters
Speeding-up
- In this webinar we describe strategies and techniques for speeding up your MATLAB applications. Included are tips on how to optimize the performance of the MATLAB code itself and how to use the MATLAB family of products
clustring
- clustring(Density-Based Spatial Clustering of Applications with Noise) is a data clustering algorithm proposed by Martin Ester, Hans-Peter Kriegel, Jö rg Sander and Xiaowei Xu in 1996.[1] It is a density-based cluste
Kode-Program-Algoritma-Fuzzy-C-Means
- Fuzzy clustering is a class of algorithms for cluster analysis in which the allocation of data points to clusters is not "hard" (all-or-nothing) but "fuzzy" in the same sense as fuzzy logic.
Java-Cluster
- 基于JVM的Java应用集群解决方案。 -JVM' s Java Application Clusters based solutions. JVM' s Java Application Clusters based solutions.