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» Measuring the Quality of Approximated Clusterings
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KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 2 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
ICDM
2009
IEEE
102views Data Mining» more  ICDM 2009»
14 years 11 months ago
Global Slope Change Synopses for Measurement Maps
Quality control using scalar quality measures is standard practice in manufacturing. However, there are also quality measures that are determined at a large number of positions on ...
Frank Rosenthal, Ulrike Fischer, Peter Benjamin Vo...
WWW
2007
ACM
16 years 2 months ago
Efficient search engine measurements
We address the problem of measuring global quality metrics of search engines, like corpus size, index freshness, and density of duplicates in the corpus. The recently proposed est...
Ziv Bar-Yossef, Maxim Gurevich
KDD
2009
ACM
140views Data Mining» more  KDD 2009»
16 years 2 months ago
Improving clustering stability with combinatorial MRFs
: ? Improving Clustering Stability with Combinatorial MRFs Bekkerman, Ron; Scholz, Martin; Viswanathan, Krishnamurthy HP Laboratories HPL-2009-46 Clustering stability, combinatoria...
Ron Bekkerman, Martin Scholz, Krishnamurthy Viswan...
108
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PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
15 years 6 months ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...