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kmeans
- K-means is a clustering algorithm In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K object
clusters
- cluster algorithm using matlab
VCfcm
- FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分-FCM algorithm is a clustering algorithm based on division, and its thinking that it is making is divided into
hadoop
- Hadoop: The Definitive Guide-Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop fr a mework is an open source implementation of the MapReduce alg
python_forUnix
- Python is an ideal language for solving problems, especially in Linux and Unix networks. With this pragmatic book, administrators can review various tasks that often occur in the management of these systems, and learn ho
PSOtoolbox
- 利用matlab编写的POS集群优化算法的工具箱，值得一看！-POS clusters prepared by using matlab optimization toolbox, worth a visit!
k-means_ColorImage_Segmentation
- This program written in MATLAB will find the clusters centriods using the K-Means algorithm for color images
MIMOBasedcommunications
- MIMO-based communications clusters... MIMO-based communications clusters-MIMO-based communications clusters... MIMO-based communications clusters... MIMO-based communications clusters...
k-means_Program
- k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。 -k-means algorithm to accept input k then n-k of data objects into a cluster in order to make th
Hadoop
- 基于Hadoop集群的分布式日志分析系统研究-Distributed Hadoop clusters based on log analysis system
dbscan
- Density Based Spatial Clustering of Applications of Noise Uses a density-based notion of clusters to discover clusters of arbitrary shapes, in spatial databases Key idea: for each object of a cluster, the neighborho
ctex
- In this project, we intend to segment natural images by combing colour and texture information. For this we will be using an unsupervised image segmentation fr a mework (referred to as CTex) that is based on the adaptive
YE
- 在原始的fcm算法基础上，对算法中的聚类数c和加权指数m给出优选方法，进而而出了fcm参数优选自适应算法，通过人造数据与具有实际背景的数据验证可以看出该算法是有效的，该算法不但可以自适应的给出最佳的聚类数，而且可以验证聚类的有效性，达到最佳聚类的目的。-In the original fcm algorithm based on the number of clusters on the algorithm and the weight
MIMO_SER
- 程序仿真MS（移动台）在分布式MIMO系统中（含有六个天线簇）的信噪比随距离的变化-Process simulation MS (mobile station) in a distributed MIMO system (with six antenna clusters) of the signal to noise ratio changes with distance
toolfordeterminignoofclusters
- A MATLAB based tool for determining number of clusters in a data set.
Meanshift_PAMI_2002
- 文章讨论了一种用于分析复杂的多态特征空间的非参数技术——Meanshift方法，并利用它进行了任意的形状聚类。-A general nonparametric technique is proposed for the analysis of a complex multimodal feature space and to delineate arbitrarily shaped clusters in it.
Multi-band-OFDM-Ultra-Wideband-System-Simulation-a
- 多頻帶正交分頻多工之超寬頻系統模擬與等化器設計--超寬頻（Ultra-wideband UWB）是一種已經有實體層規格被提報出來 的新系統，它 具有高位元傳輸率 ，能在短距離 的通訊網路 上提供高速的數 據傳輸。近來 ，因為UWB的 多項優點，使得UWB技術被研究來 用於室內短距離 的傳輸上，且在很多其他的使用上還 有很大的發展潛
mpiquiqsort
- Originally the definition of sorting in MPI is that lists are scattered around a series of working clusters before sorting. After sorting they still are scattered in those machines except that each segment is sorted and
hpcmanual
- 南师大数科院集群使用手册大家可以参考一下，熟悉集群并能够进入集群行业。-South Normal few ASTRI cluster manual, we can refer to, are familiar with and able to enter the cluster industry clusters
k_means
- In statistics and machine learning, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. It is