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PR
2006
116views more  PR 2006»
15 years 4 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
TKDE
2008
158views more  TKDE 2008»
15 years 4 months ago
Hierarchical Clustering of Time-Series Data Streams
This paper presents a time series whole clustering system that incrementally constructs a tree-like hierarchy of clusters, using a top-down strategy. The Online Divisive-Agglomera...
Pedro Pereira Rodrigues, João Gama, Jo&atil...
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
15 years 9 months ago
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
Huimin Geng, Hesham H. Ali
147
Voted
VRML
2000
ACM
15 years 8 months ago
A spatial hierarchical compression method for 3D streaming animation
When distributing 3D contents real-time over a network with a narrow bandwidth such as a telephone line, methods for streaming and data compression can be considered indispensable...
Toshiki Hijiri, Kazuhiro Nishitani, Tim Cornish, T...
ISVC
2007
Springer
15 years 10 months ago
Nonuniform Segment-Based Compression of Motion Capture Data
This paper presents a lossy compression method for motion capture data. Each degree of freedom of a motion clip is smoothed by an anisotropic diffusion process and then divided int...
Yi Lin, Michael D. McCool