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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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Fast Algorithms for Projected Clustering - PROCLUS - a traditional subspace clustering algorithm for high dimensional data-Fast Algorithms for Projected Clustering- PROCLUS- a traditional subspace clustering algorithm for high dimensional data
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Entropy Based Subspace Clustering for Mining Data - ENCLUS - a new version of PROCLUS algorithm for clustering high dimensional data set.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorithm for clustering hi
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Clustering objects on subsets of attributes - COSA - a subspace clustering algorithm.-Clustering objects on subsets of attributes- COSA- a subspace clustering algorithm.
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Subspace based clustering mechanism comparison
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DENCOS Subspace Clustering for PPT
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Clustering high-dimensional data A survey on subspace clustering, pattern-based clustering, and correlation clustering-Clustering high-dimensional data A survey on subspace clustering, pattern-based clustering, and correlation clustering
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Density Conscious Subspace Clustering for High-Dimensional Data
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基于子空间方法的运动分割技术研究，包GPCA with spectral clustering，RANSAC
Local Subspace Affinity (LSA)，三种方法-Motion segmentation technique based on subspace method, including the GPCA with spectral clustering, RANSAC Local Subspace Affinity (LSA)
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包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorit
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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 data mining a very active field of research topic) This paper focuses on high-dimensional data subspace clustering algorithm automatically
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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 data mining a very active field of research topic) This paper focuses on high-dimensional data subspace clustering algorithm automatically
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模糊子空间聚类算法 包括评价指标 模拟数据集等 参考文献 G.J. Gan and J.H. Wu, A convergence theorem for the fuzzy subspace clustering (FSC) algorithm, Pattern Recognition, vol.41, pp.1939-1947, 2008.-fuzzy subspace clustering algorithms
reference: G.J. Gan and J.H. Wu, A con
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pca his code to apply PCA (Principal Component Analysis)
for any information please send to engalaatharwat@hotmail.com
Egypt - HICIT - +20106091638
-pca his code to apply PCA (Principal Component Analysis)
for any information please sen
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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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稀疏子空间聚类的算法程序实现，用Matlab实现的SSC算法。-Sparse subspace clustering algorithm procedures to achieve, SSC algorithm implemented with Matlab.
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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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