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CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
14 years 1 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
14 years 4 months ago
Parameter estimation with expected and residual-at-risk criteria
In this paper we study a class of uncertain linear estimation problems in which the data are affected by random uncertainty. In this setting, we consider two estimation criteria,...
Giuseppe Carlo Calafiore, Ufuk Topcu, Laurent El G...
TWC
2010
13 years 4 months ago
Clustering and cluster-based routing protocol for delay-tolerant mobile networks
This research investigates distributed clustering scheme and proposes a cluster-based routing protocol for DelayTolerant Mobile Networks (DTMNs). The basic idea is to distributivel...
Ha Dang, Hongyi Wu
DEXAW
1999
IEEE
152views Database» more  DEXAW 1999»
14 years 2 months ago
Advanced Metrics for Class-Driven Similarity Search
This paper presents two metrics for the Nearest Neighbor Classifier that share the property of being adapted, i.e. learned, on a set of data. Both metrics can be used for similari...
Paolo Avesani, Enrico Blanzieri, Francesco Ricci
AAAI
2010
13 years 11 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He