1061 search results - page 80 / 213 » Massive Data Pre-Processing with a Cluster Based Approach |
153
Voted
NC
2007
15 years 3 months ago
2007
Sorting of the extracellularly recorded spikes is a basic prerequisite for analysis of the cooperative neural behavior and neural code. Fundamentally the sorting performance is de�...
154
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ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
142
Voted
PAA
2006
15 years 4 months ago
2006
Abstract In this paper, an efficient K-medians clustering (unsupervised) algorithm for prototype selection and Supervised K-medians (SKM) classification technique for protein seque...
147
Voted
KDD
2004
ACM
16 years 4 months ago
2004
ACM
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
161
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HPDC
1999
IEEE
15 years 8 months ago
1999
IEEE
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data at multiple sites around the world. The technologies, the middleware se...