Sciweavers

172 search results - page 3 / 35
» Graph-Based Data Clustering with Overlaps
Sort
View
LION
2009
Springer
112views Optimization» more  LION 2009»
14 years 4 months ago
A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps
Abstract. Protein function prediction represents a fundamental challenge in bioinformatics. The increasing availability of proteomics network data has enabled the development of se...
Valerio Freschi
ICPR
2008
IEEE
14 years 4 months ago
An extended version of the k-means method for overlapping clustering
This paper deals with overlapping clustering, a trade off between crisp and fuzzy clustering. It has been motivated by recent applications in various domains such as information r...
Guillaume Cleuziou
SOCIALCOM
2010
13 years 7 months ago
Measuring Similarity between Sets of Overlapping Clusters
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...
SIGOPS
2008
123views more  SIGOPS 2008»
13 years 9 months ago
Comparative evaluation of overlap strategies with study of I/O overlap in MPI-IO
Many scientific applications use parallel I/O to meet the low latency and high bandwidth I/O requirement. Among many available parallel I/O operations, collective I/O is one of th...
Christina M. Patrick, Seung Woo Son, Mahmut T. Kan...
ISM
2006
IEEE
129views Multimedia» more  ISM 2006»
13 years 9 months ago
A Graph-Based Approach for Modeling and Indexing Video Data
In this work, we propose new graph-based data model and indexing to organize and manage video data. To consider spatial and temporal characteristics of video, we introduce a new g...
JeongKyu Lee