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ICDE
2003
IEEE
160views Database» more  ICDE 2003»
14 years 8 months ago
HD-Eye - Visual Clustering of High dimensional Data
Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for g...
Alexander Hinneburg, Daniel A. Keim, Markus Wawryn...
JDCTA
2010
122views more  JDCTA 2010»
13 years 1 months ago
The Application Research of High-dimensional Mixed-attribute Data Clustering Algorithm
High-dimensional mixed-attribute data clustering has become an important research direction in data mining area. Because of the advantages of the information technology, data coll...
Lilin Fan, Chunhong Liu, Qian Liu
SIGMOD
2000
ACM
165views Database» more  SIGMOD 2000»
13 years 11 months ago
Finding Generalized Projected Clusters In High Dimensional Spaces
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
Charu C. Aggarwal, Philip S. Yu
CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 7 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...
SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
14 years 4 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar