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ICALP
2011
Springer
13 years 1 months ago
Clique Clustering Yields a PTAS for max-Coloring Interval Graphs
We are given an interval graph G = (V, E) where each interval I ∈ V has a weight wI ∈ R+. The goal is to color the intervals V with an arbitrary number of color classes C1, C2...
Tim Nonner
FUIN
2011
358views Cryptology» more  FUIN 2011»
13 years 1 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
13 years 22 days ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
CORR
2011
Springer
197views Education» more  CORR 2011»
13 years 5 months ago
Query Expansion Based on Clustered Results
Query expansion is a functionality of search engines that suggests a set of related queries for a user-issued keyword query. Typical corpus-driven keyword query expansion approach...
Ziyang Liu, Sivaramakrishnan Natarajan, Yi Chen
INFOCOM
2011
IEEE
13 years 1 months ago
Network-aware behavior clustering of Internet end hosts
Abstract—This paper explores the behavior similarity of Internet end hosts in the same network prefixes. We use bipartite graphs to model network traffic, and then construct on...
Kuai Xu, Feng Wang 0002, Lin Gu