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CIKM
2006
Springer
15 years 6 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
BMCBI
2010
153views more  BMCBI 2010»
15 years 3 months ago
Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massi
Background: Massively parallel sequencing readouts of epigenomic assays are enabling integrative genome-wide analyses of genomic and epigenomic variation. Pash 3.0 performs sequen...
Cristian Coarfa, Fuli Yu, Christopher A. Miller, Z...
IMCSIT
2010
15 years 1 months ago
Multiscale Segmentation Based On Mode-Shift Clustering
We present a novel segmentation technique that effectively segments natural images. The method is designed for the purpose of image retrieval and follows the principle of clusterin...
Wojciech Tarnawski, Lukasz Miroslaw, Roman Pawliko...
CORR
2011
Springer
255views Education» more  CORR 2011»
14 years 7 months ago
Link Spam Detection based on DBSpamClust with Fuzzy C-means Clustering
This Search engine became omnipresent means for ingoing to the web. Spamming Search engine is the technique to deceiving the ranking in search engine and it inflates the ranking. ...
S. K. Jayanthi, S. Sasikala
ISBRA
2007
Springer
15 years 10 months ago
GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
Xubo Fei, Shiyong Lu, Horia F. Pop, Lily R. Liang