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» Comparisons Between Data Clustering Algorithms
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NIPS
2004
13 years 9 months ago
Self-Tuning Spectral Clustering
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
Lihi Zelnik-Manor, Pietro Perona
IPM
2007
158views more  IPM 2007»
13 years 7 months ago
Validation and interpretation of Web users' sessions clusters
Understanding users’ navigation on the Web is important towards improving the quality of information and the speed of accessing large-scale Web data sources. Clustering of users...
George Pallis, Lefteris Angelis, Athena Vakali
SIGIR
2006
ACM
14 years 1 months ago
Near-duplicate detection by instance-level constrained clustering
For the task of near-duplicated document detection, both traditional fingerprinting techniques used in database community and bag-of-word comparison approaches used in information...
Hui Yang, James P. Callan
ICDE
2006
IEEE
110views Database» more  ICDE 2006»
14 years 9 months ago
Detecting Duplicates in Complex XML Data
Recent work both in the relational and the XML world have shown that the efficacy and efficiency of duplicate detection is enhanced by regarding relationships between entities. Ho...
Melanie Weis, Felix Naumann
BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
13 years 8 months ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang