搜索资源列表
ISM
- ISM 解释型结构模型 根据邻接矩阵求可达矩阵，进行级划分的算法-ISM model to explain structure up under the adjacency matrix matrix, the class division algorithm
FCM
- 模糊c均值聚类 FCM算法用matlab实现的，从随机初始化划分矩阵开始迭代。-Fuzzy C means clustering algorithm FCM realized by MATLAB, from the random initialization partition matrix starting the iteration.
kMeansCluster
- 数据挖掘中k均值划分聚类算法。输入对象的数据集矩阵和簇的数量，使用欧拉距离计算对象之间的相拟度-K-means partitioning clustering algorithm in data mining. Input object data sets matrix and the number of clusters, using euler distance calculation。
1
- 将图像中描述人眼位置的信息提取出来，统计出划分网络第2行的8个子矩阵中的值为“1”的像素点个数-The information described in the human eye image extracted position, the statistics division of the network in line 2 of 8 sub-matrix flavor value " 1" number of pixels point
Hyper
- 将普通图划分为超图，并用矩阵表示。是一种简单而实用的方法。-The map is divided into ordinary hypergraph, and is represented by a matrix.
SZTU
- 数字图像由被称作像素的小块区域组成的二维矩阵。将物理图像行列划分后，每个小块区域称为像素-Digital image is composed of small area called pixel of two-dimensional matrix. After dividing the physical image procession, each small area called pixels
MCM
- 划分预测对象状态 ： 根据预测的目的划分 计算初始概率 ： 根据历史数据计算状态概率 计算状态转移概率，构造转移概率矩阵P 根据转移概率进行预测，Pij 表示由状态 i 转移到状态 j 的概率 按最大可能性作为选择原则：选择（Pj1，Pj2，…， PjN ）中最大者为预测结果。 计算状态转移概率时，最后一个数据不参加计算(To predict the state of an object: divide it according to the purpose of prediction