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» A new clustering algorithm for coordinate-free data
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KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 8 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
ASUNAM
2009
IEEE
14 years 1 months ago
Mining the Dynamics of Music Preferences from a Social Networking Site
In this paper we present an application of our incremental graph clustering algorithm (DENGRAPH) on a data set obtained from the music community site Last.fm. The aim of our study...
Nico Schlitter, Tanja Falkowski
IPPS
2003
IEEE
14 years 1 months ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
MLDM
2007
Springer
14 years 2 months ago
Kernel MDL to Determine the Number of Clusters
In this paper we propose a new criterion, based on Minimum Description Length (MDL), to estimate an optimal number of clusters. This criterion, called Kernel MDL (KMDL), is particu...
Ivan O. Kyrgyzov, Olexiy O. Kyrgyzov, Henri Ma&ici...
ISPD
2005
ACM
188views Hardware» more  ISPD 2005»
14 years 1 months ago
A semi-persistent clustering technique for VLSI circuit placement
Placement is a critical component of today's physical synthesis flow with tremendous impact on the final performance of VLSI designs. However, it accounts for a significant p...
Charles J. Alpert, Andrew B. Kahng, Gi-Joon Nam, S...