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ICCV
2003
IEEE
14 years 10 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
RTSS
2006
IEEE
14 years 2 months ago
Modeling and Worst-Case Dimensioning of Cluster-Tree Wireless Sensor Networks
Time-sensitive Wireless Sensor Network (WSN) applications require finite delay bounds in critical situations. This paper provides a methodology for the modeling and the worst-case...
Anis Koubaa, Mário Alves, Eduardo Tovar
CIKM
2004
Springer
14 years 1 months ago
Mining gene expression datasets using density-based clustering
Given the recent advancement of microarray technologies, we present a density-based clustering approach for the purpose of co-expressed gene cluster identification. The underlyin...
Seokkyung Chung, Jongeun Jun, Dennis McLeod
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
14 years 2 months ago
Dimension Reduction for Supervised Ordering
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results and best-seller lists. Techniques for processing such ordinal d...
Toshihiro Kamishima, Shotaro Akaho
ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
14 years 2 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana