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» Graph-Based Data Clustering with Overlaps
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LION
2009
Springer
112views Optimization» more  LION 2009»
15 years 6 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
15 years 6 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
14 years 9 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»
14 years 11 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»
14 years 11 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