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BMCBI
2007
125views more  BMCBI 2007»
13 years 9 months ago
Identification of discriminative characteristics for clusters from biologic data with InforBIO software
Background: There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, suc...
Naoto Tanaka, Masataka Uchino, Satoru Miyazaki, Hi...
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
13 years 9 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 10 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010
CLUSTER
2005
IEEE
14 years 2 months ago
Fast Query Processing by Distributing an Index over CPU Caches
Data intensive applications on clusters often require requests quickly be sent to the node managing the desired data. In many applications, one must look through a sorted tree str...
Xiaoqin Ma, Gene Cooperman
IADIS
2008
13 years 10 months ago
Design of an Automated System for Clustering Heterogeneous Data
The goal of this work is to study the feasibility of a Heterogeneous Data Classification and Search (HDCS) system and to provide a possible design for its implementing. In order t...
Dorin Carstoiu, Alexandra Cernian, Adriana Olteanu...