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Finding Groups in Data: An Introduction to Cluster Analysis by Leonard Kaufman, Peter J. Rousseeuw

Finding Groups in Data: An Introduction to Cluster Analysis Leonard Kaufman, Peter J. Rousseeuw ebook
Page: 355
Format: pdf
Publisher: Wiley-Interscience
ISBN: 0471735787, 9780471735786

Let's describe a generative model for finding clusters in any set of data. From this perspective, the above findings would suggest that DD is a single gene disease. Introduction 1.1 What is cluster analysis? The exponential accumulation of DNA and protein sequencing data has demanded efficient tools for the comparison, analysis, clustering, and classification of novel and annotated sequences [1,2]. Hierarchical Cluster Analysis Some Basics and Algorithms 1. Kaufman L, Rousseeuw P: Finding Groups in Data: An Introduction to Cluster Analysis (Wiley Series in Probability and Statistics). The techniques of global partitioning of the data, such as K-means, partitioning around medoids, various flavors of hierarchical clustering, and self-organized maps [1-4], have provided the initial picture of similarity in the gene expression profiles, Another approach to finding functionally relevant groups of genes is network derivation, which has been popular in the analysis of gene-gene and protein-protein interactions [6-10], and is also applicable to gene expression analysis [11,12]. Cluster analysis is a collection of statistical methods, which identifies groups of samples that behave similarly or show similar characteristics. Cluster analysis is called Q-analysis (finding distinct ethnic groups using data about believes and feelings1), numerical taxonomy (biology), classification analysis (sociology, business, psychology), typology2 and so on. The identification of the cluster centroid or the most representative [voucher or barcode] .. Kaufman L, Rousseeuw P: Finding Groups in Data: An Introduction to Cluster Analysis. SIAM J Comput 1982, 11(4):721-736. We assume an infinite set of latent groups, where each group is described by some set of parameters.