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ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
14 years 7 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
IR
2006
14 years 9 months ago
Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments
Search facilitated with agglomerative hierarchical clustering methods was studied in a collection of Finnish newspaper articles (N = 53,893). To allow quick experiments, clustering...
Tuomo Korenius, Jorma Laurikkala, Martti Juhola, K...
ICPP
2002
IEEE
15 years 2 months ago
Optimal Video Replication and Placement on a Cluster of Video-on-Demand Servers
A cost-effective approach to building up scalable Videoon-Demand (VoD) servers is to couple a number of VoD servers together in a cluster. In this article, we study a crucial vide...
Xiaobo Zhou, Cheng-Zhong Xu
ASAP
2004
IEEE
171views Hardware» more  ASAP 2004»
15 years 1 months ago
CHARMED: A Multi-Objective Co-Synthesis Framework for Multi-Mode Embedded Systems
In this paper, we present a modular co-synthesis framework called CHARMED that solves the problem of hardware-software co-synthesis of periodic, multi-mode, distributed, embedded ...
Vida Kianzad, Shuvra S. Bhattacharyya
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 3 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...