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DNA microarray technology has now made it possible to simultaneously monitor the expression levels of thousands of genes during… Expand Despite many empirical successes of spectral clustering methods— algorithms that cluster points using eigenvectors of matrices… Expand A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard… Expand We consider the problem of determining the structure of clustered data, without prior knowledge of the number of clusters or any… Expand An electrical signal transmission system, applicable to the transmission of signals from trackside hot box detector equipment for… Expand A new graphical display is proposed for partitioning techniques. Each cluster is represented by a so-called silhouette, which is… Expand Back in print at a good price. To see the many websites referencing this book, in Google enter "cluster analysis" (in quotes) and… Expand SYSTAT provides a variety of cluster analysis methods on rectangular or symmetric data matrices. Cluster analysis is a… Expand Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organising multivariate data… Expand It is sometimes useful in an analysis of variance to split the treatments into reasonably homogeneous groups. Multiple comparison… Expand