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ClusteirngAnalysis
- This work presents an implementation of a parallel Fuzzy c-means cluster analysis tool, which implements both aspects of cluster investigation: the calculation of clusters’ centers with the degrees of membership o
XC866_Two_Phase_Stepper_Motor_Control_1
- 英飞凌XC866两相步进电机控制源程序，内有原理和程序说明。采用PWM的方式进行细分，模拟正弦波控制。-Small Two Phase Stepper Motors are popular for instrumentation since they provide easy to see information to the end user. Applications such as vehicle instrument c
k_means
- k means techniques de classification non supervisée (clustering) les plus utilisées. Etant donné un entier K, K-means partitionne les données en K groupes, ou "clusters", ou "classes" ne se chevauchant pas. Ce résul
kmeans
- 加强了的K-MEANS聚类函数，速度比以前快5 。适合多种聚类场合。一般聚类数为2-5之间为最佳。-The enhanced K-MEANS clustering function, speed 5 faster than before. Clustering for a variety of occasions. General the number of clusters for the best between 2-5.
clustering
- The algorithm "clustering" is an anomaly detection algorithm. It overcomes two shortcomings of K-means: number of clusters dependency and degeneracy. -The algorithm "clustering" is an anomaly detection algorithm. It
visualCRv2123
- discover far-close relations (distances) between especially many clusters in high-dimensional space
kmeans
- 利用Kmeans分色，原型程式由書本上修改，敢為分色後再切割圖形並讀取圖形，但需預先給定聚類數。-Kmeans separation using the prototype program changes from the books, dare to cut graphics and color and then read the graphics, but the need to advance a given number of
KMEANS
- k-means C++ 源代码， 修正原来的错误， 增加的新功能 1、用vector实现其存储 2、直接在程序中读取数据集 3、结果可以保存到文件中 4、用户可以输入聚类个数 5、初始聚类中心随机选择(代码自动随机)-k-means C++ source code, fixes the original error, the increase in new features 1, 2, with the ve
programs
- kmeans algo implemented in newkmeans2_1.c uses the header file IOV2.H. Given a set of data points and the number (k) of means (or clusters required for further processing), this algo gives the approximate means.-kmeans a
matlableach.m
- leach协议的matlab代码，包括参量的设置，成簇代码，建立簇，及存活节点数目的计算-leach protocol matlab code, including parameter settings, clustering code, the establishment of clusters, and survival of the calculation of the number of nodes
a
- 基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点，在聚类分析中被广泛采用，本文提出 的基于相对密度的聚类算法，在继承上述优点的基础上。有效地解决了基于密度的聚类结果对参数值过于敏感、参数 值难以设置以厦高密度簇完全被相连的低密度簇所包含等问题。-Density-based clustering algorithm because of its strong resistance to noise and can fi
b
- ：DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇，并可以在带有“噪声”的空间数 据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性，且DBSCAN算法需扫描空间数据库中每个点的e一 邻域来寻找聚类，这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法，可以处理非空 间属性，同时又可以加快聚类的速度。-: DBSCAN is a density-based
IntroductiontoClustersandParallelComputing
- Clusters and Parallel Computing – An Introduction
rc4
- rc4加密算法是大名鼎鼎的RSA三人组中的头号人物在1987年设计的密钥长度可变的流加密算法簇。-rc4 RSA encryption algorithm is the famous trio of the top figures in 1987, the design flow of variable length key encryption algorithm clusters.
mapreduce
- MapReduce: Simplied Data Processing on Large Clusters
segmentation
- Provides segmentation introducing clusters for each region
vqsplit
- This function is for training a codebook for vector quantization. The data set is split to two clusters, first, and the mean of each cluster is found (centroids). The disttance of each vector from these centroids is foun
BenchmarkPthreadPerformance
- The importance of the peeormance of threads libraries is growing as clusters of shared memory machines become more popular POSIX threads, or Pthreads, is an industry threads library standard.
scada
- 使用VB和VC++混合编程的大型集群设备监控系统软件。界面做得比较漂亮，有可靠的串口设备和网络设备数据采集的设计实例。图片也是自己整理的，觉得还是比较漂亮和大方的。-Using VB and VC++ mixed programming equipment monitoring system software on large clusters. Interfaces have done quite beautiful, have a
k-means
- 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