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» An overview of clustering methods
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KDD
2000
ACM
149views Data Mining» more  KDD 2000»
14 years 13 days ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
CIKM
2006
Springer
13 years 10 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
CHI
2008
ACM
13 years 11 months ago
Word usage and posting behaviors: modeling blogs with unobtrusive data collection methods
We present a large-scale analysis of the content of weblogs dating back to the release of the Blogger program in 1999. Over one million blogs were analyzed from their conception t...
Adam D. I. Kramer, Kerry Rodden
IROS
2006
IEEE
113views Robotics» more  IROS 2006»
14 years 2 months ago
Policy Gradient Methods for Robotics
— The aquisition and improvement of motor skills and control policies for robotics from trial and error is of essential importance if robots should ever leave precisely pre-struc...
Jan Peters, Stefan Schaal
CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Performance evaluation of relevance feedback methods
In this paper we review the evaluation of relevance feedback methods for content-based image retrieval systems. We start out by presenting an overview of current common practice, ...
Mark J. Huiskes, Michael S. Lew