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» A divide-and-merge methodology for clustering
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RECOMB
2009
Springer
15 years 10 months ago
Spatial Clustering of Multivariate Genomic and Epigenomic Information
The combination of fully sequence genomes and new technologies for high density arrays and ultra-rapid sequencing enables the mapping of generegulatory and epigenetics marks on a g...
Rami Jaschek, Amos Tanay
OR
2006
Springer
14 years 10 months ago
Financial forecasting through unsupervised clustering and neural networks
In this paper, we review our work on a time series forecasting methodology based on the combination of unsupervised clustering and artificial neural networks. To address noise and...
Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitr...
ICDE
2008
IEEE
90views Database» more  ICDE 2008»
15 years 11 months ago
Rights Protection of Trajectory Datasets
This work presents a technique of convincingly claiming ownership rights over a trajectory dataset. The presented methodology distorts imperceptibly a collection of sequences, effe...
Claudio Lucchese, Michail Vlachos, Deepak Rajan, P...
TSD
2009
Springer
15 years 4 months ago
Improving the Clustering of Blogosphere with a Self-term Enriching Technique
The analysis of blogs is emerging as an exciting new area in the text processing field which attempts to harness and exploit the vast quantity of information being published by ind...
Fernando Perez-Tellez, David Pinto, John Cardiff, ...
GRC
2005
IEEE
15 years 3 months ago
Semantic based clustering of Web documents
Abstract. A new methodology that structures the semantics of a collection of documents into the geometry of a simplicial complex is developed. A simplicial complex is topologically...
Tsau Young Lin, I-Jen Chiang