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ICML
2006
IEEE
16 years 7 months ago
Estimating relatedness via data compression
We show that it is possible to use data compression on independently obtained hypotheses from various tasks to algorithmically provide guarantees that the tasks are sufficiently r...
Brendan Juba
EUSFLAT
2007
180views Fuzzy Logic» more  EUSFLAT 2007»
15 years 8 months ago
On Cluster Analysis Based on Fuzzy Relations Between Spatial Data
Methods like DBSCAN are widely used in the analysis of spatial data. These methods are based on the neighborhood relations which use distance between points. However, these neighb...
Efendi N. Nasibov, Gözde Ulutagay
BILDMED
2006
169views Algorithms» more  BILDMED 2006»
15 years 8 months ago
Segmentation of the Vascular Tree in CT Data Using Implicit Active Contours
Abstract. We propose an algorithm for the segmentation of blood vessels in the kind of CT-data typical for diagnostics in a clinical environment. Due to poor quality and variance i...
Karsten Rink, Arne-Michael Törsel, Klaus D. T...
BMCBI
2007
123views more  BMCBI 2007»
15 years 6 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
WSC
2004
15 years 8 months ago
Using Simulated Data in Support of Research on Regression Analysis
Using simulated data to develop and study diagnostic tools for data analysis is very beneficial. The user can gain insight about what happens when assumptions are violated since t...
Christopher Michael Hill, Linda C. Malone