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This paper presents a clustering approach
which estimates the specific subspace and the intrinsic dimension of each class. Our approach
adapts the Gaussian mixture model framework to high-dimensional data and estimates
the parameters which best
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Adaptive Grids for Clustering Massive Data Sets - MAFIA. It is a subspace clustering algorithm.-Adaptive Grids for Clustering Massive Data Sets- MAFIA. It is a subspace clustering algorithm.
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Clustering through Decision Tree Construction - CLTree - A subspace clustering algorithm.-Clustering through Decision Tree Construction- CLTree- A subspace clustering algorithm.
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Finding Generalized Projected Clusters in High Dimensional Spaces - ORCLUS - A subspace clustering algorithm.-Finding Generalized Projected Clusters in High Dimensional Spaces- ORCLUS- A subspace clustering algorithm.
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关于吸引传播算法的扩展应用的一片文章,对于图像研究很有启发意义-Subspace segmentation is the task of segmenting data
lying on multiple linear subspaces. Its applications in
computer vision include motion segmentation in video,
structure-from-motion, and image clustering. In t
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过去的几年见证了一个explo比如来源和形式。例如,数以百万计的摄像机被安装在建筑物、街道、机场、城市和世界各地。这造成了巨大的进步如何获取、压缩、存储、传输和处理大量复杂的高维数据。-he past few years have witnessed an explo- ple sources and modalities. For example,millions of cameras have been installed in buildings, streets, airports, a
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数学方法是部分子空间法，用于时频分析算法，包含特征值与特征向量的提取、训练样本以及最后的识别，研究生时的现代信号处理的作业，现代信号处理中谱估计在matlab中的使用，可实现对二维数据的聚类。- Mathematics is part of the subspace, For time-frequency analysis algorithm, Contains the eigenvalue and eigenvector extraction, the training sample, and
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用MATLAB实现动态聚类或迭代自组织数据分析，在MATLAB中求图像纹理特征，可以得到很精确的幅值、频率、相位估计，从先验概率中采样，计算权重，滤波求和方式实现宽带波束形成，数学方法是部分子空间法。
- Using MATLAB dynamic clustering or iterative self-organizing data analysis, In the MATLAB image texture feature, You can get a very accurate a
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现代信号处理中谱估计在matlab中的使用，可实现对二维数据的聚类，数学方法是部分子空间法。- Modern signal processing used in the spectral estimation in matlab, Can realize the two-dimensional data clustering, Mathematics is part of the subspace.
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聚类分析是数据挖掘研究领域中一个非常活跃的研究课题) 本文重点分析了高维度数据的自动子空间聚类算法-Cluster analysis is a data mining research area in a very active research topic) This paper focuses on automatic subspace clustering algorithm for high dimensional data
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可实现局部最优近似平面数据聚类，该聚类方法是一种常用的子空间聚类方法，文章作者没有给出相应的源码，这里提供给大家。经过测试可以实现数据聚类，但是对人脸数据集extended yale B效果不理想。参考文献：Teng Zhang, Arthur Szlam, Yi Wang, et al. Hybrid linear modeling via local best-fit flats [J]. International Journal of Computer Vision, 2012, 100
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CLIQUE（Clustering In QUEst)是一种简单的基于网格的聚类方法，用于发现子空间中基于密度的簇。CLIQUE把每个维划分成不重叠的区间，从而把数据对象的整个嵌入空间划分成单元。它使用一个密度阈值识别稠密单元和稀疏单元。一个单元是稠密的，如果映射到它的对象数超过该密度阈值。(CLIQUE (Clustering In QUEst) is a simple grid based clustering method for the discovery of clusters bas
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子空间聚类算法EWKM (Entropy Weighting K-Means) 在matlab上的实现。(Entropy Weighting K-means which is one of the subspace clustering algorithm written in Matlab.)
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