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otsu.rar
- 本程序是利用最大类间方差算法求解自适应阈值，对图像进行分割,非动态阈值,This procedure is the use of maximum between-cluster variance adaptive thresholding algorithm for image segmentation, non-dynamic threshold
Thresholding-using-mean-shift
- 基于mean shift的阈值分割matlab代码，先借助Mean Shift算法的分割特性将灰度值相近的元素进行聚类，然后，在此基础上应用阈值分割算法，达到将图像与背景分离的目的。-Threshold based on mean shift segmentation matlab code, the first split with the Mean Shift algorithm similar to the gray value characteristics of the element
LocalOstu
- 基于opencv的otsu阈值分割,根据最大类间方差原理,进行全局图像分类-Opencv based on the Otsu threshold segmentation, in accordance with the principle of maximum between-cluster variance for the overall image classification
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- 把地理区域分成一个个小区，蜂窝系统在该区域内提供无线覆盖。把可用的频谱分成很多信道，每个小区分配一组信道。使用频分双工（FDD）。在小区间进行频率利用，N个小区构成一个簇，簇间进行频率复用。定义了传播特性（信道参数）以及同频小区的位置。信道的参数包括：小区半径，路径损耗指数，以分贝为单位的对数正态阴影的标准差，基站发射功率级，移动台发射功率级，每个小区的扇区数，扇区化天线的正反向比，要仿真的瞬时位置的组数，同频干扰阈值。-To a geographical area is divided int
OTSUMultiThre
- 1.本程序功能包含显示直方图，OTSU的单值分割，OTSU的二值分割,OTSU的三值分割 2.在OTSU的分割时，通常情况下我们是通过类间方差得到一个分割阈值，但是有时候我们需要得到各灰度级别的目标，那么采取多值分割是 很必要的，通过改进得到OTSU的多值分割方法 3.本程序另外还有显示直方图，计算程序运行时间，处理结果以新的窗口显示等细节，这部分适合MFC初学者。-1. This procedure shows the histogram feature, OTSU sing
juleifenxi
- 针对实际问题定义一种相似性测度的阈值，然后按最近邻规则指定某些模式样本属于某一个聚类类别。-Practical problems for the similarity measure to define a threshold value, and then press the nearest neighbor rule to designate certain mode of samples belonged to a particular cluster category.
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 neighborhood of a given radius contains
Percolation-Cluster
- 对周围相邻的 8 邻居求和（元胞只有两种状态，0 或 1 ）。元胞也有一个单独的状态参量（所谓 记录 ）记录它们之前是否有非零状态的邻居。 在 0 与 1 之间产生一个随机数 r 。 如果总和> 0 （至少一个邻居）并且 r >阈值，或者元胞从未有过一个邻居，则元胞= 1 。 如果总和> 0 则设置"记录"的标志，记录这些元胞有一个非零的邻居。 -8 adjacent neighbors on the surrounding sum (cell only two states,
05552057
- The sensor nodes of a wireless grain depot surveillance system are deployed in crystal grids, which provide lot of valid position information. To avoid the energy consumption unbalance of the single hop routing model adopted by LEACH prot
Eye-location-
- 首先对图像进行非线性灰度变换滤除噪声，然后利用最大类间方差阈值技术对处理后的图像进行二值化处理，最后利用积分投影定位人眼-First to utilize non-linear gray-scale transformation to filter out noises, then adopts the between-cluster variance threshold segmentation method for image binarization processing, finally
leachrand
- 实现无线传感器网络leach协议。簇头随机分布在网络中，节点产生随机数，并判断是否大于阈值，如果大于阈值则作为簇头。每隔一定时间簇头选择一次。-Wireless sensor networks leach agreement. Cluster head randomly distributed in the network, the node generates a random number, and to determine whether greater than the threshol
M-GEAR
- In this research work, we advise gateway based energy-efficient routing protocol (M-GEAR) for Wireless Sensor Networks (WSNs). We divide the sensor nodes into four logical regions on the basis of their location in the sensing field. We install Base S
CanopyExm
- Canopy聚类算法是一个将对象分组到类的简单、快速、精确地方法。每个对象用多维特征空间里的一个点来表示。这个算法使用一个快速近似距离度量和两个距离阈值 T1>T2来处理。 Canopy聚类算法能快速找出应该选择多少个簇，同时找到簇的中心，这样可以大大优化 K均值聚类算法的效率 。-Canopy is a clustering algorithm to group objects into simple categories, fast, accurate method. Each obj
loc_im_MSfilter
- 我们先借助Mean Shift算法的分割特性将灰度值相近的元素进行聚类，然后，在此基础上应用阈值分割算法，达到将图像与背景分离的目的。-We first use the division characteristics of the Mean Shift algorithm, the grey value of similar element in the cluster, and then, on the basis of using threshold segmentation algori
MSEP
- Modified-SEP 通过修改了族头的筛选条件，以及考虑筛选族头时，各个族头相对于基站的位置，对SEP协议进行了优化-Modified-SEP： In this protocol, the remaining energy and distance node to base station have been taken under consideration while selecting optimal cluster-heads at each round in Stable Ele
ostu
- 最大类间方差的基本思想是使用一个阈值将整个数据分成两个类，假如两个类之间的方差最大，那么这个阈值就是最佳的阈值-The between-cluster variance as the basic idea is to use a threshold to the whole data is divided into two classes, if the maximum variance between two classes, then the threshold value is the b
jai-pt56
- 包括AHP，因子分析，回归分析，聚类分析，旋转机械二维全息谱计算的实用例程，比较了软阈值，硬阈值及当今各种阈值计算方法。- Including AHP, factor analysis, regression analysis, cluster analysis, Rotating Machinery dimensional hologram of practical spectrum calculation routines, Comparison of soft threshold and
LEACH??.doc
- 无线传感器网络路由算法，通过改进簇头选举阈值，延长网络生存时间(Routing algorithm for wireless sensor networks improves the network lifetime by improving the cluster head election threshold)
TEEN
- TEEN协议就是为反应式无线传感器网络而设计的路由策略，它具有实时性，可以对突发事件作出快速反应。TEEN采用与LEACH相同的多簇结构运行方式。不同的是，在簇的建立过程中，随着簇首节点的选定，簇首节点除了通过TDMA方法实现数据的调度，还向簇内成员广播有关数据的硬阀值和软阀值两个参数。(The TEEN protocol is a routing strategy designed for reactive wireless sensor networks. It is real-time a
Cluster analysis
- 对输入的数值进行聚类分析，分析阈值可自己设置，聚类方法可以分为欧氏距离和夹角余弦两种(The value of the input is analyzed by cluster analysis, and the threshold can be set by itself. The clustering method can be divided into two kinds: Euclidean distance and angle cosine.)