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BMCBI
2006
164views more  BMCBI 2006»
13 years 10 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
14 years 8 days ago
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Vadeerat Rinsurongkawong, Christoph F. Eick
DATAMINE
2006
224views more  DATAMINE 2006»
13 years 10 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
13 years 8 months ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 10 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu