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FOCS
2006
IEEE
14 years 1 months ago
The Effectiveness of Lloyd-Type Methods for the k-Means Problem
We investigate variants of Lloyd’s heuristic for clustering high dimensional data in an attempt to explain its popular
Rafail Ostrovsky, Yuval Rabani, Leonard J. Schulma...
CGF
2010
171views more  CGF 2010»
13 years 4 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
IDEAL
2003
Springer
14 years 26 days ago
GMM Based on Local Fuzzy PCA for Speaker Identification
To reduce the high dimensionality required for training of feature vectors in speaker identification, we propose an efficient GMM based on local PCA with Fuzzy clustering. The prop...
JongJoo Lee, JaeYeol Rheem, Ki Yong Lee
JDWM
2006
178views more  JDWM 2006»
13 years 7 months ago
Improved Data Partitioning for Building Large ROLAP Data Cubes in Parallel
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining ta...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
ICAPR
2001
Springer
14 years 4 days ago
Image Retrieval Using a Hierarchy of Clusters
The goal of this paper is to describe an efficient procedure for color-based image retrieval. The proposed procedure consists of two stages. First, the image data set is hierarchi...
Daniela Stan, Ishwar K. Sethi