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» OP-Cluster: Clustering by Tendency in High Dimensional Space
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DEXA
2006
Springer
190views Database» more  DEXA 2006»
13 years 11 months ago
High-Dimensional Similarity Search Using Data-Sensitive Space Partitioning
Abstract. Nearest neighbor search has a wide variety of applications. Unfortunately, the majority of search methods do not scale well with dimensionality. Recent efforts have been ...
Sachin Kulkarni, Ratko Orlandic
VLDB
2000
ACM
166views Database» more  VLDB 2000»
13 years 11 months ago
What Is the Nearest Neighbor in High Dimensional Spaces?
Nearest neighbor search in high dimensional spaces is an interesting and important problem which is relevant for a wide variety of novel database applications. As recent results s...
Alexander Hinneburg, Charu C. Aggarwal, Daniel A. ...
MICAI
2005
Springer
14 years 29 days ago
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Edgar Chávez, Karina Figueroa, Gonzalo Nava...
ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
14 years 12 days ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
VISSYM
2004
13 years 8 months ago
A Botanically Inspired High-Dimensional Visualization with Multivariate Glyphs
It is difficult for the average viewer to assimilate and comprehend huge amounts of high-dimensional data. It is important to present data in a way that allows the user a high lev...
Eleanor Boyle Chlan, Penny Rheingans