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BIOINFORMATICS
2011
13 years 5 months ago
Optimized data fusion for K-means Laplacian clustering
Shi Yu, Xinhai Liu, Léon-Charles Trancheven...
IGPL
2011
13 years 5 months ago
A new clustering algorithm applying a hierarchical method neural network
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
Javier Bajo, Juan Francisco de Paz, Sara Rodr&iacu...
CAEPIA
2011
Springer
12 years 10 months ago
A Cluster Based Pseudo Feedback Technique Which Exploits Good and Bad Clusters
Abstract. In the last years, cluster based retrieval has been demonstrated as an effective tool for both interactive retrieval and pseudo relevance feedback techniques. In this pa...
Javier Parapar, Alvaro Barreiro
EPIA
2011
Springer
12 years 9 months ago
Thematic Fuzzy Clusters with an Additive Spectral Approach
This paper introduces an additive fuzzy clustering model for similarity data as oriented towards representation and visualization of activities of research organizations in a hiera...
Susana Nascimento, Rui Felizardo, Boris Mirkin
CORR
2011
Springer
132views Education» more  CORR 2011»
13 years 1 months ago
Spatially-Aware Comparison and Consensus for Clusterings
This paper proposes a new distance metric between clusterings that incorporates information about the spatial distribution of points and clusters. Our approach builds on the idea ...
Parasaran Raman, Jeff M. Phillips, Suresh Venkatas...