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881
- 一种高效的聚类算法给定要聚类的N的对象以及N*N的距离矩阵(或者是相似性矩阵), 层次式聚类方法的基本步骤(参看S.C. Johnson in 1967)如下:-An Efficient Algorithm for the cluster must be the object of N and N * N distance matrix (or similarity matrix), the hierarchical clustering method the basic steps (see
UB
- 改程序实现UB算法，对Web日志文件进行分析，产生相似度矩阵-reform program UB algorithm, the Web log file analysis, the similarity matrix produced
Matrix
- 一些矩阵运算的函数，包括两个矩阵相加，两个矩阵相减，两个矩阵相乘，矩阵复制，矩阵求逆的全选主员高斯-约当法，矩阵的三角分解(LU分解)，求Hessenberg矩阵全部特征根的QR法，约化一般实矩阵为Hessenberg矩阵的初等相似变换-A function of a number of matrix operations, including the sum of two matrices, subtract two matrices, the two matrices, matrix dup
similarityMatrix
- this m file is describe Similarity matrix for an image
selfAffinity
- AP是在数据点的相似度矩阵的基础上进行聚类.对于规模很大的数据集,AP算法是一种快速、有效的聚类方法,这是其他传统的聚类算法所不能及的,-A semi-supervised clustering method based on affinity propagation (AP) algorithm is proposed in this paper. AP takes as input measures of similarity between pairs of data points. AP
hasse
- 通过Hasse matrices 和偏组合技术来进行化学计量研究的一个工具。-The Diversity/similarity measure based on Hasse matrices is a novel chemometric approach based on the partial ordering technique and the Hasse matrix
spectralclustering-1.0
- 一款功能强大的分类算法软件包，在matlab环境下使用。详见如下网站 http://mloss.org/software/view/133/-A MATLAB spectral clustering package to deal with large data sets. Our tool can handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. Spectral clustering a
djgz
- 模糊聚类中，相似矩阵到等价矩阵的改造程序-Fuzzy clustering, the similarity matrix to the equivalent matrix of the adaptation process
Graphic
- 基于图模型的图像分割并行算法研究与实现,该方案通过网格划分来实现相似度矩阵的并行计算同时考虑到相似度矩阵的稀疏性和矩阵向量乘运算的内在并行性, 在该方案中本文设计并行算法来求解特征值问题在环境下的实验结果表明, 该并行方案是提高图模型分割方法实时性的有效途径.-Image segmentation based on graph model of parallel algorithm and implementation of the program through the mesh to ach
nk2
- 半监督异常行为监测pdf，提出新的基于半监督学习的行为建模与异常检测方法，采用基于动态时间归整的归一化距离来建立相似矩阵-Semi-supervised monitoring abnormal behavior pdf, propose a new semi-supervised Learning based on behavior modeling and anomaly detection methods, based on Dynamic Time Warping of the norma
shibie
- 基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL
generateROC
- Generates the values in a ROC curve given a similarity matrix. For use in evaluation of biometric recognition systems (e.g. fingerprint, face, iris, etc.)
generateCMC
- Generates the values in a Cumulative Match Characteristic (CMC) curve given a similarity matrix. For use in evaluation of biometric recognition systems (e.g. fingerprint, face, iris, etc.)
sevaluate
- gets label matrix of a tissue in segmented and ground truth and returns similarity indices-gets label matrix of a tissue in segmented and ground truth and returns similarity indices
3
- 本文提出一种基于特征点的运动场景图像拼接算法。基于相似变换消除选取在运动物体上的特征点，并使用RANSAC 算法进行外点的剔除。在融合阶段，根据齐次变换矩阵求得对2 幅图像的差异图像，并执行区域增长算法，从而分割出运动区域。使用一种分段映射算法生成全景图像。实验证明了算法的有效性-This paper presents a scenario based on the movement of feature points image mosaic algorithm. Selected based
www
- 一本将基于近邻传播算法的半监督聚类的算方法书.对于聚类研究的很有帮助-Abstract: A semi-supervised clustering method based on affinity propagation (AP) algorithm is proposed in this paper. AP takes as input measures of similarity between pairs of data points. AP is an efficient a
pLSA_EM
- PLSA EM演算法，用於文本與字詞之間的矩陣工具，測量其相似度-PLSA EM algorithm for the matrix between the text and words tool to measure the similarity
CompareText
- 比对两文本/字符串的相似度,利用LD矩阵算法-Compare two text/string similarity matrix algorithm using LD ..
simm-matrix
- THIS CODE TO COMPUTE SIMILARITY MATRIX OF ROUGH SET