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» On High Dimensional Skylines
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CEC
2009
IEEE
14 years 4 months ago
Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms
— This paper attempts to address the question of scaling up Particle Swarm Optimization (PSO) algorithms to high dimensional optimization problems. We present a cooperative coevo...
Xiaodong Li, Xin Yao
VLDB
2004
ACM
178views Database» more  VLDB 2004»
14 years 3 months ago
High-Dimensional OLAP: A Minimal Cubing Approach
Data cube has been playing an essential role in fast OLAP (online analytical processing) in many multi-dimensional data warehouses. However, there exist data sets in applications ...
Xiaolei Li, Jiawei Han, Hector Gonzalez
SIGMOD
2000
ACM
165views Database» more  SIGMOD 2000»
14 years 2 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
ICML
2003
IEEE
14 years 10 months ago
Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
Lei Yu, Huan Liu
ICML
2003
IEEE
14 years 10 months ago
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...
Xiaoli Zhang Fern, Carla E. Brodley