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Clustering high-dimensional data
Known as:
Subspace clustering
Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions. Such high…
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Related topics
Related topics
13 relations
Association rule learning
Biclustering
Bioinformatics
Correlation clustering
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Broader (1)
Cluster analysis
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization
Tae-Hyun Oh
2015
Corpus ID: 67822286
Rank minimization problem can be boiled down to either Nuclear Norm Minimization (NNM) or Weighted NNM (WNNM) problem. The…
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2015
2015
Clustering Consistent Sparse Subspace Clustering
Yining Wang
,
Yu-Xiang Wang
,
Aarti Singh
arXiv.org
2015
Corpus ID: 2115530
Subspace clustering is the problem of clustering data points into a union of low-dimensional linear or affine subspaces. It is…
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2012
2012
A Framework for Clustering Mixed Attribute Type Datasets
Jongwoo Lim
,
Jongeun Jun
,
Seon Ho Kim
,
D. McLeod
2012
Corpus ID: 18956145
We propose a clustering framework that supports clustering of datasets with mixed attribute type (numerical, categorical), while…
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2012
2012
Identifying vital sign abnormality in acutely-ill patients
David Wong
2012
Corpus ID: 74072139
The Emergency Department (ED) provides the first line of care for anyone seeking treatment for an urgent problem caused by an…
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2009
2009
EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers
Marwan Hassani
,
Emmanuel Müller
,
T. Seidl
SensorKDD '09
2009
Corpus ID: 15732328
Clustering is an established data mining technique for grouping objects based on similarity. For sensor networks one aims at…
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2007
2007
Incremental Subspace Clustering over Multiple Data Streams
Qi Zhang
,
Jinze Liu
,
Wei Wang
Industrial Conference on Data Mining
2007
Corpus ID: 12810933
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points…
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2007
2007
Diffusion Maps and Geometric Harmonics for Automatic Target Recognition (ATR). Volume 2. Appendices
S. Zucker
,
R. Coifman
2007
Corpus ID: 33721827
Abstract : Geometric harmonics provides a framework for taking data in high-dimensional measurement spaces and embedding them in…
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2005
2005
Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor
M. Kawanabe
International Conference on Artificial Neural…
2005
Corpus ID: 33959255
In high dimensional data analysis, finding non-Gaussian components is an important preprocessing step for efficient information…
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2004
2004
Subspace clustering of high-dimensional bi-nary data-a probabilistic approach
A. Patrikainen
,
H. Manilla
2004
Corpus ID: 60288361
A shelf rail afixed to the front of gondola shelves and provided with slidably supported spring clips, said spring clips slidably…
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1998
1998
Unsupervised Classification of High Dimensional Data by means of Self-Organizing Neural Networks
Antoine Choppin
1998
Corpus ID: 59798823
Contents Introduction 1 1 Unsupervised classiication of high-dimensional data 4 Introduction Unsupervised classiication is a…
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