Dimensionality-reduced subspace clustering Reinhard Heckel, Michael Tschannen, and Helmut B¨olcskei December 14, 2015 Abstract Subspace clustering refers to the problem of clustering unlabeled high-dimensional data

Source URL: www.reinhardheckel.com

LUDWIGMAXIMILIANSUNIVERSITY MUNICH DEPARTMENT INSTITUTE FOR INFORMATICS

Source URL: i.cs.hku.hk

• Algebra
• Mathematics
• Statistics
• Cluster analysis
• Data mining
• Geostatistics
• Correlation clustering
• Multivariate statistics
• Eigenvalues and eigenvectors
• Principal component analysis
• Clustering high-dimensional data

Discovering Strong Skyline Points in High Dimensional Spaces Zhenjie Zhang Xinyu Guo

Source URL: people.cs.aau.dk

• Algebra
• Mathematics
• Linear algebra
• Operator theory
• Projective geometry
• Group theory
• Functional analysis
• Linear subspace
• Vector space
• Clustering high-dimensional data
• SUBCLU

The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives Arthur Zimek & Jilles Vreeken

Source URL: eda.mmci.uni-saarland.de

• Cluster analysis
• Constrained clustering
• Machine learning
• Consensus clustering
• Clustering high-dimensional data

An Interactive Visual Testbed System for Dimension Reduction and Clustering of Large-scale High-dimensional Data Jaegul Choo, Hanseung Lee, Zhicheng Liu, John Stasko, and Haesun Park Georgia Institute of Technology, USA

Source URL: www.zcliu.org

• Visualization
• Multivariate statistics
• Dimension reduction
• Data
• Data visualization
• Information technology governance
• K-means clustering
• Parallel coordinates
• Principal component analysis
• Information visualization
• Spectral clustering
• Data analysis

Shaping City Neighborhoods Leveraging Crowd Sensors Giuseppe Rizzoa,c,b,∗, Rosa Meob , Ruggero G. Pensab , Giacomo Falconeb , Rapha¨el Troncyc a ISMB, Turin, Italy

Source URL: giusepperizzo.github.io

• Data mining
• SUBCLU
• Cluster analysis
• DBSCAN
• Linear subspace
• Clustering high-dimensional data
• K-means clustering

CURLER: Finding and Visualizing Nonlinear Correlation Clusters ∗ Anthony K. H. Tung Xin Xu

Source URL: www.comp.nus.edu.sg

• Cluster analysis
• Data mining
• Geostatistics
• K-means clustering
• Clustering high-dimensional data
• K-medoids
• Fuzzy clustering
• OPTICS algorithm
• Image segmentation
• DBSCAN
• Hierarchical clustering
• Determining the number of clusters in a data set

Visual Interactive Neighborhood Mining on High Dimensional Data Emin Aksehirli • Bart Goethals •

Source URL: poloclub.gatech.edu

• Multivariate statistics
• Cluster analysis
• Data mining
• Geostatistics
• K-means clustering
• Hierarchical clustering
• Dimension reduction
• K-nearest neighbors algorithm
• Machine learning
• Multidimensional scaling
• Pattern recognition
• Nonlinear dimensionality reduction

MSU Technical Report MSU-CSE-15-10, July 8, 2015 Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters Radha Chitta, Anil K. Jain, Rong Jin Dept. of Computer Science and Engineerin

Source URL: www.cse.msu.edu

Call for Sponsorship The Workshop on Clustering High Dimensional Data and its Applications is devoted to bringing together researchers from academia, government and industry working on problems involving clustering and i

Source URL: www.cs.utexas.edu