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KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 2 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
16 years 2 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
112
Voted
ECRTS
2008
IEEE
15 years 8 months ago
Hierarchical Scheduling Framework for Virtual Clustering of Multiprocessors
Scheduling of sporadic task systems on multiprocessor platforms is an area which has received much attention in the recent past. It is widely believed that finding an optimal sch...
Insik Shin, Arvind Easwaran, Insup Lee
INFOCOM
2003
IEEE
15 years 7 months ago
An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks
— A wireless network consisting of a large number of small sensors with low-power transceivers can be an effective tool for gathering data in a variety of environments. The data ...
Seema Bandyopadhyay, Edward J. Coyle
131
Voted
DEXAW
2010
IEEE
204views Database» more  DEXAW 2010»
15 years 3 months ago
Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets
Automatic generation of taxonomies can be useful for a wide area of applications. In our application scenario a topical hierarchy should be constructed reasonably fast from a large...
Markus Muhr, Vedran Sabol, Michael Granitzer