Description: ClustanGraphics聚类分析工具。提供了11种聚类算法。
Single Linkage (or Minimum Method, Nearest Neighbor)
Complete Linkage (or Maximum Method, Furthest Neighbor)
Average Linkage (UPGMA)
Weighted Average Linkage (WPGMA)
Mean Proximity
Centroid (UPGMC)
Median (WPGMC)
Increase in Sum of Squares (Ward s Method)
Sum of Squares
Flexible (ß space distortion parameter)
Density (or k-linkage, density-seeking mode analysis) -ClustanGraphics clustering analysis tools. Provides 11 kinds of clustering algorithms. Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean ProximityCentroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of SquaresFlexible (? space distortion parameter) Density (or k-linkage, density-seeking mode analysis) Platform: |
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Author:wangyexin |
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Description: 基于Mean Shift算法和Particle Filter算法的目标跟踪学位论文：讨论了MeanS hift算法(均值偏移)和粒子滤波算法(Particle Filter)，分析了两种算法的特点；，分析了用运动目标检测提取目标运动特征的技术，通过增加对目标特征描述信
息，提高跟踪健壮性，并在以颜色直方图描述颜色特征的基础上，融合了目标的运动特征，设计了一种基于运动特征和颜色特征多特征融合的粒子滤波跟踪方法；用二阶直方图描述颜色特征，设计了均值偏移和粒子滤波相结合的目标跟踪技术-Based on Mean Shift Algorithm and Particle Filter algorithm for target tracking dissertation: The MeanS hift algorithm (average deviation) and particle filter (Particle Filter), an analysis of the characteristics of two algorithms analyzed by extracting the target moving target detection Movement characteristics of technology, by increasing the characterization of target information to enhance the tracking robustness, and to describe the color characteristics of color histogram, based on the integration of the target movement characteristics, designed a campaign based on the characteristics and color characteristics of multi-feature integration of particle filter tracking method with second-order description of the color histogram features, designed to offset the mean particle filter and a combination of target tracking technology Platform: |
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Author:田卉 |
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Description: 这是Dorin Comaniciu，Peter Meer的文献：Mean Shift Analysis and Applications-This is Dorin Comaniciu, Peter Meer literature: Mean Shift Analysis and Applications Platform: |
Size: 263168 |
Author:史晓萍 |
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Description: 使用分解聚类算法在IRIS数据上进行聚类分析，IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成，模式类别数为3，特征维数是4，每类各有50个模式样本，总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the measurement results, models for category 3, 4 are characteristic dimension, of each type of each 50 model samples, a total of 150 samples. Platform: |
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Author:liz |
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Description: 实现了Mean Shift:A Robust Approach Toward Feature Space Analysis一书中的所介绍的平滑方法。-A program of literature of Mean Shift: A Robust Approach Toward Feature Space Analysis introduces smoothing method. Platform: |
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Author:Bin |
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Description: 基于均值漂移（mean shift)算法的图像分割程序，可用于图像特征提取，图像识别等。参考文献：Comaniciu(2002) Mean shift- a robust approach toward feature space analysis.pdf-image segment algorithm based on mean shift,
reference Comaniciu(2002) Mean shift- a robust approach toward feature space analysis.pdf Platform: |
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Author:simondu |
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Description: ua University, in 2002 publi
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Mailto US | Studio | Copyright Complaints Platform: |
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Author:wibisono |
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Description: 一种基于运动场分析的均值漂移目标跟踪算法。对经典的算法进行了有效改进，充分考虑了目标的运动信息，提高了算法性能。-Sports analysis based on mean shift tracking algorithm. The classical algorithm is effective to improve, give full consideration to the goals of the campaign information to improve the algorithm performance. Platform: |
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Author:无影 |
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Description: 本系统中VIS欠缺的SIFT_VC.lib文件。。。
http://www.pudn.com/downloads224/sourcecode/math/detail1055031.html-This is lib file, which is used in Video Intelligent System (VIS) based on the Microsoft Visual Studio 2008 compiler environment and OpenCV 2.0 library. It includes foreground detection, motion object detection, motion object tracking, trajectories generation and analysis modules. It realizes a friendly interface based on dialog, which provides a convenient example for new learners.
keywords: opencv, mixture of gaussian model, sift feature and ransac method, mean shift, particle filter, kalman filter, object detection and tracking, video intelligent system. Platform: |
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Author: |
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Description: ：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多
特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究，
提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一
种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。
为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明，
该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。-: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve. Platform: |
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Author:张娜 |
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Description: Mean Shift算法的基本原理，着重研究了Mean Shift的迭代过程和收敛性以及特征空间的结构。通过Mean Shift结构分析，本章提出了一种快速区域合并算法并将其应用于改进的Mean Shift图像分割算法。-The basic principle of the Mean Shift algorithm, focusing on the Mean Shift iteration process and convergence and the structure of the feature space. Mean Shift structural analysis, this chapter proposes a fast region merging algorithm and apply the Improved Mean Shift image segmentation algorithm. Platform: |
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Author:waiwai |
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