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» Using the fractal dimension to cluster datasets
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BIBM
2008
IEEE
101views Bioinformatics» more  BIBM 2008»
15 years 6 months ago
Comparing and Clustering Flow Cytometry Data
Flow cytometry technique produces large, multidimensional datasets of properties of individual cells that are helpful for biomedical science and clinical research. This paper expl...
Lin Liu, Li Xiong, James J. Lu, Kim M. Gernert, Vi...
JGS
2006
113views more  JGS 2006»
14 years 11 months ago
Pattern based map comparisons
Map comparison techniques based on a pixel-by-pixel comparison are useful for many purposes, but fail to reveal important aspects of map similarities and differences. In contrast, ...
Roger White
ICDE
2003
IEEE
193views Database» more  ICDE 2003»
16 years 26 days ago
An Adaptive and Efficient Dimensionality Reduction Algorithm for High-Dimensional Indexing
The notorious "dimensionality curse" is a well-known phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well known approach to o...
Hui Jin, Beng Chin Ooi, Heng Tao Shen, Cui Yu, Aoy...
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
15 years 29 days ago
Making k-means Even Faster
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
Greg Hamerly
ASUNAM
2009
IEEE
15 years 4 months ago
Detecting Structural Changes and Command Hierarchies in Dynamic Social Networks
Community detection in social networks varying with time is a common yet challenging problem whereby efficient visualization of evolving relationships and implicit hierarchical s...
Romain Bourqui, Frédéric Gilbert, Pa...