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» From Comparing Clusterings to Combining Clusterings
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ICML
2005
IEEE
14 years 8 months ago
A new Mallows distance based metric for comparing clusterings
Despite of the large number of algorithms developed for clustering, the study on comparing clustering results is limited. In this paper, we propose a measure for comparing cluster...
Ding Zhou, Jia Li, Hongyuan Zha
SIGIR
2010
ACM
13 years 8 months ago
Optimal meta search results clustering
By analogy with merging documents rankings, the outputs from multiple search results clustering algorithms can be combined into a single output. In this paper we study the feasibi...
Claudio Carpineto, Giovanni Romano
EDBT
2004
ACM
268views Database» more  EDBT 2004»
14 years 7 months ago
DBDC: Density Based Distributed Clustering
Abstract. Clustering has become an increasingly important task in modern application domains such as marketing and purchasing assistance, multimedia, molecular biology as well as m...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
14 years 1 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
IPPS
1998
IEEE
13 years 11 months ago
Comparing the Optimal Performance of Different MIMD Multiprocessor Architectures
We compare the performance of systems consisting of one large cluster containing q processors with systems where processors are grouped into k clusters containing u processors eac...
Lars Lundberg, Håkan Lennerstad