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This paper describes the use of clustering methods for identifying potential manufacturing cells.
The literature on the design of manufacturing facilities has two major themes: the application of cellular manufacturing, including the use of clustering methods; and the solution of facilities layout problems using optimisation methods.
The mapping indicates that there is space for secondary studies in areas that has a high number of primary studies, such as studies of feature enrichment for a better text representation in the vector space model; use of classification methods; use of clustering methods; and the use of latent semantics in text mining.
The choice of methodology is a crucial issue in the use of clustering methods to examine structure in a given data set.
The usual analyses of these data are focused on the differentially expressed genes [ 3] as well as on the use of clustering methods to obtain the sets of coexpressed genes.
The use of clustering methods to obtain sets of coexpressed genes from expression arrays is very common; nevertheless there are no appropriate tools to study the expression networks among these sets of coexpressed genes.
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Also, GDV similarity between proteins in the PPI network was used as a similarity measure for clustering proteins using series of clustering methods, resulting in clusters significantly enriched in cancer and disease related proteins.
For neuraminidase and cyclin-dependent kinase II (CDK2), snapshots of MD simulation trajectories have been clustered based on different structural properties using a variety of clustering methods.
Centred-reduced data of proteins showing at least one significant effect were analyzed using two types of clustering methods implemented in the Expander software [ 48].
Using a suite of clustering methods, Xu and colleagues demonstrate that the Mlabri and Htin share more nuclear variants with each other than either does with surrounding populations.
This chapter provides an overview of the uses of cluster methods and describes the procedures involved in conducting cluster analyses.
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