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» A Statistical Clustering Model and Algorithm
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123
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KDD
2005
ACM
127views Data Mining» more  KDD 2005»
16 years 3 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
114
Voted
COCOON
2005
Springer
15 years 8 months ago
Algorithmic and Complexity Issues of Three Clustering Methods in Microarray Data Analysis
The complexity, approximation and algorithmic issues of several clustering problems are studied. These non-traditional clustering problems arise from recent studies in microarray ...
Jinsong Tan, Kok Seng Chua, Louxin Zhang
VTS
2003
IEEE
89views Hardware» more  VTS 2003»
15 years 7 months ago
Diagnosis of Delay Defects Using Statistical Timing Models
— In this paper, we study the problem of delay defect diagnosis based on statistical timing models. We propose a diagnosis algorithm that can effectively utilize statistical timi...
Angela Krstic, Li-C. Wang, Kwang-Ting Cheng, Jing-...
BMCBI
2010
164views more  BMCBI 2010»
15 years 2 hour ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
262
Voted
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
16 years 4 months ago
A Framework for Clustering Massive-Domain Data Streams
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Charu C. Aggarwal