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» Distance Patterns in Structural Similarity
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BMCBI
2008
122views more  BMCBI 2008»
13 years 9 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
14 years 4 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
KDD
2009
ACM
174views Data Mining» more  KDD 2009»
14 years 4 months ago
Visual exploration of categorical and mixed data sets
For categorical data there does not exist any similarity measure which is as straight forward and general as the numerical distance between numerical items. Due to this it is ofte...
Sara Johansson
NPAR
2004
ACM
14 years 3 months ago
Rendering cracks in Batik
We present an algorithm for simulating the cracks found in Batik wax painting and dyeing technique used to make images on cloth. The algorithm produces cracks similar to those fou...
Brian Wyvill, Cornelius W. A. M. van Overveld, M. ...
GRID
2008
Springer
13 years 10 months ago
On correlated availability in Internet-distributed systems
As computer networks rapidly increase in size and speed, Internet-distributed systems such as P2P, volunteer computing, and Grid systems are increasingly common. A precise and acc...
Derrick Kondo, Artur Andrzejak, David P. Anderson