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GD
2004
Springer
15 years 11 months ago
Visualizing Large Graphs with Compound-Fisheye Views and Treemaps
Compound-fisheye views are introduced as a method for the display and interaction with large graphs. The method relies on a hierarchical clustering of the graph, and a generalizat...
James Abello, Stephen G. Kobourov, Roman Yusufov
BMCBI
2004
113views more  BMCBI 2004»
15 years 6 months ago
Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray dat...
Alexandre G. de Brevern, Serge A. Hazout, Alain Ma...
IR
2006
15 years 6 months ago
Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments
Search facilitated with agglomerative hierarchical clustering methods was studied in a collection of Finnish newspaper articles (N = 53,893). To allow quick experiments, clustering...
Tuomo Korenius, Jorma Laurikkala, Martti Juhola, K...
CIS
2005
Springer
15 years 11 months ago
Concept Chain Based Text Clustering
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
Shaoxu Song, Jian Zhang, Chunping Li
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
16 years 24 days ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...