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RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
15 years 10 months ago
Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
Dan Li, Jitender S. Deogun, William Spaulding, Bil...
146
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FAW
2008
Springer
104views Algorithms» more  FAW 2008»
15 years 6 months ago
Ranking of Closeness Centrality for Large-Scale Social Networks
Abstract. Closeness centrality is an important concept in social network analysis. In a graph representing a social network, closeness centrality measures how close a vertex is to ...
Kazuya Okamoto, Wei Chen, Xiang-Yang Li
ICIP
2007
IEEE
15 years 6 months ago
Bayesian Example Based Segmentation using a Hybrid Energy Model
This paper describes a supervised segmentation algorithm which draws inspiration from recent advances in non-parametric texture synthesis. A set of example images which have been ...
Claire Gallagher, Anil C. Kokaram
ANOR
2005
93views more  ANOR 2005»
15 years 5 months ago
Evolutionary Approaches to DNA Sequencing with Errors
In the paper, two evolutionary approaches to the general DNA sequencing problem, assuming both negative and positive errors in the spectrum, are compared. The older of them is base...
Jacek Blazewicz, Fred Glover, Marta Kasprzak
IJCNN
2007
IEEE
15 years 11 months ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar