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ICDM
2008
IEEE
118views Data Mining» more  ICDM 2008»
14 years 1 months ago
Dirichlet Process Based Evolutionary Clustering
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
ECML
2007
Springer
14 years 1 months ago
Clustering Trees with Instance Level Constraints
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...
Jan Struyf, Saso Dzeroski
JMLR
2010
78views more  JMLR 2010»
13 years 2 months ago
An Alternative Prior Process for Nonparametric Bayesian Clustering
Prior distributions play a crucial role in Bayesian approaches to clustering. Two commonly-used prior distributions are the Dirichlet and Pitman-Yor processes. In this paper, we i...
Hanna M. Wallach, Shane Jensen, Lee Dicker, Kather...
ICCAD
2007
IEEE
161views Hardware» more  ICCAD 2007»
14 years 4 months ago
Clustering based pruning for statistical criticality computation under process variations
— We present a new linear time technique to compute criticality information in a timing graph by dividing it into “zones”. Errors in using tightness probabilities for critica...
Hushrav Mogal, Haifeng Qian, Sachin S. Sapatnekar,...
QUESTA
2006
94views more  QUESTA 2006»
13 years 7 months ago
Modeling teletraffic arrivals by a Poisson cluster process
In this paper we consider a Poisson cluster process N as a generating process for the arrivals of packets to a server. This process generalizes in a more realistic way the infinite...
Gilles Faÿ, Bárbara González-Ar...