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ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
13 years 9 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
CSB
2005
IEEE
125views Bioinformatics» more  CSB 2005»
13 years 10 months ago
On Optimizing Distance-Based Similarity Search for Biological Databases
Similarity search leveraging distance-based index structures is increasingly being used for both multimedia and biological database applications. We consider distance-based indexi...
Rui Mao, Weijia Xu, Smriti R. Ramakrishnan, Glen N...
CEC
2007
IEEE
13 years 8 months ago
Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation
This paper presents an approach for constructing improved visual representations of high dimensional objective spaces using virtual reality. These spaces arise from the solution of...
Julio J. Valdés, Alan J. Barton, Robert Orc...
CEC
2009
IEEE
13 years 11 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
SIAMIS
2010
171views more  SIAMIS 2010»
12 years 11 months ago
Global Optimization for One-Dimensional Structure and Motion Problems
We study geometric reconstruction problems in one-dimensional retina vision. In such problems, the scene is modeled as a 2D plane, and the camera sensor produces 1D images of the s...
Olof Enqvist, Fredrik Kahl, Carl Olsson, Kalle &Ar...