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4下载：
利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文。-Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.
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In this paper we present a scheme for integrating a digital stabilizer with video codec of a digital video camera. This integration achieves computational efficiency without affecting the performance of video coding and digital stabilization. The pr
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J-linkage 算法，可以用于多体拟合的一种策略，优于Multi-ransac-This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual data representation. Each poin
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本文在阅读大量遗传算法小生境技术资料基础上，介绍了遗传算法的特点、物种形成和小生境技术，详细陈述上世纪80年代以来的各种小生境实现方法，包括共享函数法、确定性排挤法、可变半径的聚类算法和隔离小生境方法等；最后对小生境遗传算法的工程应用提出了展望。
-In this paper, a lot of reading technical information niching genetic algorithm based on the characteristics of genetic alg
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enhancing semi-supervised clustering:a feature projection prespective算法实现-the implementation of the alogrithm described in the paper--- enhancing semi-supervised clustering:a feature projection prespective
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This directory includes sources used in the following paper:
Parallel Spectral Clustering in Distributed Systems
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, and Edward Chang
Accepted by IEEE Transactions on Pattern Analysis and
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TS-Fuzzy Model模糊系统论文pdf文件以及Matlab code源码，对学习很有帮助。-paper: "Compact TS-Fuzzy Models through Clustering and OLS plus FIS Model Reduction" and Matlab code.
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：DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇，并可以在带有“噪声”的空间数
据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性，且DBSCAN算法需扫描空间数据库中每个点的e一
邻域来寻找聚类，这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法，可以处理非空
间属性，同时又可以加快聚类的速度。-: DBSCAN is a density-based clustering algorithm. The alg
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本程序包括：论文SVM 用于基于块划分特征提取的图像分类，和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。
-The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction,
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基于FCM的数据聚类分析及Matlab 实现
戈国华, 肖海波, 张敏
( 江西理工大学信息工程学院江西赣州341000 )
【摘要】: 聚类是数据挖掘中常用的数据分析技术。本文详细介绍了FCM聚类算法的理论和实现步骤。并用Matlab 演
示了FCM用于数据聚类。结果表明FCM算法是一种高效的数据聚类算法, 有很广泛的应用。-FCM clustering analysis based on the data and Matlab implementation Ge Guohua
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本文有模糊聚类的论文和matlab编写的工具包，可直接使用-In this paper, a fuzzy clustering papers and the preparation of the MATLAB toolkit, can be used directly
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本文在阐述聚类分析方法的基础上重点研究FCM聚类算法。FCM算法是一种基于划分的聚类算法，它的思想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。最后基于MATLAB实现了对图像信息的聚类。- This paper describes the basis of cluster analysis methods and focus on the FCM clustering algorithm. FCM algorithm is a clustering algorithm b
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depso clustering algorithm written in matlab
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与模糊数学相关的,模糊聚类分析的有效性问题初探,FCM算法是论文中不可或缺的部分,在此将FCM算法的两种迭代形式的MATLAB代码写于下,也许有的同学会用得着:-Fuzzy clustering analysis and fuzzy validity problems of the mathematically related, FCM algorithm is an integral part of the paper, in the form of the FCM two iterative
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文章Clustering by fast search and find of density peaks里的聚类算法代码-clustering algorithm matlab code in paper:Clustering by fast search and find of density peaks
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关于稀疏子空间聚类的算法程序实现，及对应的论文，matlab源码实现。-On sparse subspace clustering algorithm procedures, and the corresponding paper, matlab source code.
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实现点的聚类，并用做图像分割，来源是文章：Self-Tuning Spectral Clustering
(作者: Lihi Zelnik-Manor, Pietro Perona )(point clustering and image segmentation, algorithm is from paper:Self-Tuning Spectral Clustering(author: Lihi Zelnik-Manor, Pietro Perona ))
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这篇matlab代码用于正反面都有字的碎纸片的拼接复原，聚类分析(This matlab code is used for the stitching and restoration of both the right and the wrong pieces of paper, and clustering analysis)
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Size and complexity of data repositories collaboratively created
by Web users generate a need for new processing approaches.
In this paper, we study the problem of detection of
fine-grained communities of users in social networks, which
can be de
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Partial Multi-View Clustering的matlab源代码和对应论文(The matlab codes and the corresponding paper of Partial Multi-View Clustering.)
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