<--- Back to Details
First PageDocument Content
SUBCLU / Cluster analysis / DBSCAN / OPTICS algorithm / K-means clustering / Hans-Peter Kriegel / Clustering high-dimensional data / Principal component analysis / Clique / Statistics / Data analysis / Multivariate statistics
Date: 2004-04-29 03:43:17
SUBCLU
Cluster analysis
DBSCAN
OPTICS algorithm
K-means clustering
Hans-Peter Kriegel
Clustering high-dimensional data
Principal component analysis
Clique
Statistics
Data analysis
Multivariate statistics

Add to Reading List

Source URL: www.dbs.informatik.uni-muenchen.de

Download Document from Source Website

File Size: 332,29 KB

Share Document on Facebook

Similar Documents

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

DocID: 1tJCk - View Document

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

LUDWIGMAXIMILIANSUNIVERSITY MUNICH DEPARTMENT INSTITUTE FOR INFORMATICS

DocID: 1rbUx - View Document

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

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

DocID: 1qXsi - View Document

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

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

DocID: 1pL2J - View Document

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

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

DocID: 1pzSB - View Document