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MLDM
2005
Springer
15 years 11 months ago
Clustering Large Dynamic Datasets Using Exemplar Points
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
William Sia, Mihai M. Lazarescu
150
Voted
WEBI
2005
Springer
15 years 11 months ago
A Method of Web Search Result Clustering Based on Rough Sets
Due to the enormous size of the web and low precision of user queries, finding the right information from the web can be difficult if not impossible. One approach that tries to ...
Chi Lang Ngo, Hung Son Nguyen
ICCNMC
2005
Springer
15 years 11 months ago
Energy Aware Routing Based on Adaptive Clustering Mechanism for Wireless Sensor Networks
Abstract. The main goal of research concerning energy aware routing algorithm for wireless sensor network is to increase the lifetime and long-term connectivity of the wireless sen...
Sangho Yi, Geunyoung Park, Junyoung Heo, Jiman Hon...
149
Voted
PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
15 years 11 months ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai
CLUSTER
2003
IEEE
15 years 11 months ago
A Cluster-Based Solution for High Performance Hmmpfam Using EARTH Execution Model
Hmmpfam is a widely used computation-intensive bioinformatics software for sequence classification. The contribution of this paper is the first largely scalable and robust clust...
Weirong Zhu, Yanwei Niu, Jizhu Lu, Chuan Shen, Gua...