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» A Method for Dynamic Clustering of Data
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BIBE
2007
IEEE
151views Bioinformatics» more  BIBE 2007»
15 years 8 months ago
On the Effectiveness of Constraints Sets in Clustering Genes
—In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constr...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
NIPS
2007
15 years 8 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
PR
2006
122views more  PR 2006»
15 years 6 months ago
Fast multiscale clustering and manifold identification
We present a novel multiscale clustering algorithm inspired by algebraic multigrid techniques. Our method begins with assembling data points according to local similarities. It us...
Dan Kushnir, Meirav Galun, Achi Brandt
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