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PKDD
2004
Springer
90views Data Mining» more  PKDD 2004»
15 years 12 months ago
Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering
The more sophisticated fuzzy clustering algorithms, like the Gustafson–Kessel algorithm [11] and the fuzzy maximum likelihood estimation (FMLE) algorithm [10] offer the possibil...
Christian Borgelt, Rudolf Kruse
ACSAC
2001
IEEE
15 years 10 months ago
Mining Alarm Clusters to Improve Alarm Handling Efficiency
It is a well-known problem that intrusion detection systems overload their human operators by triggering thousands of alarms per day. As a matter of fact, we have been asked by on...
Klaus Julisch
APPML
2002
87views more  APPML 2002»
15 years 6 months ago
Induced layered clusters, hereditary mappings, and convex geometries
A method for structural clustering proposed by the authors is extended to the case when there are externally de ned restrictions on the relations between sets and their elements. ...
Boris Mirkin, Ilya B. Muchnik
CLEF
2011
Springer
14 years 6 months ago
Using Clustering to Identify Outlier Chunks of Text - Notebook for PAN at CLEF 2011
Intrinsic plagiarism detection is a sub-task of authorship identification in which outlier chunks must be detected solely on the basis of stylistic differences from the main body o...
Navot Akiva
TASLP
2008
143views more  TASLP 2008»
15 years 6 months ago
Strategies to Improve the Robustness of Agglomerative Hierarchical Clustering Under Data Source Variation for Speaker Diarizatio
Many current state-of-the-art speaker diarization systems exploit agglomerative hierarchical clustering (AHC) as their speaker clustering strategy, due to its simple processing str...
K. J. Han, S. Kim, S. S. Narayanan