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» CURE: An Efficient Clustering Algorithm for Large Databases
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108
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BIOINFORMATICS
2000
99views more  BIOINFORMATICS 2000»
15 years 3 months ago
GeneRAGE: a robust algorithm for sequence clustering and domain detection
Motivation: Efficient, accurate and automatic clustering of large protein sequence datasets, such as complete proteomes, into families, according to sequence similarity. Detection...
Anton J. Enright, Christos A. Ouzounis
136
Voted
EWSN
2008
Springer
16 years 3 months ago
Efficient Clustering for Improving Network Performance in Wireless Sensor Networks
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod
130
Voted
INFORMATICALT
2008
124views more  INFORMATICALT 2008»
15 years 3 months ago
Hierarchical Adaptive Clustering
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
Gabriela Serban, Alina Campan
134
Voted
KDD
1995
ACM
167views Data Mining» more  KDD 1995»
15 years 7 months ago
Efficient Algorithms for Attribute-Oriented Induction
Data mining or knowledge discovery in databasesis the search for relationships and global patterns that exist but are hidden in large databases.Many different methodshave been pro...
Hoi-Yee Hwang, Ada Wai-Chee Fu
256
Voted
ICDE
2003
IEEE
193views Database» more  ICDE 2003»
16 years 5 months ago
An Adaptive and Efficient Dimensionality Reduction Algorithm for High-Dimensional Indexing
The notorious "dimensionality curse" is a well-known phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well known approach to o...
Hui Jin, Beng Chin Ooi, Heng Tao Shen, Cui Yu, Aoy...