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

Finding Groups in Data: An Introduction to Cluster Analysis



Download Finding Groups in Data: An Introduction to Cluster Analysis




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


Table 5: Malnutrition rate by .. Food Security and Vulnerability Analysis in Iraq. Table 4: Malnutrition rate in Iraq by governorates. Hierarchical Cluster Analysis Some Basics and Algorithms 1. 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. Introduction 1.1 What is cluster analysis? Cluster analysis is one of those techniques I don't get to use very often. In 2004, the United Nations World Food Programme (WFP) and COSIT published a survey (data collected in 2003) looking at the food security situation in Iraq. About once every couple of years someone will be doing a study of types of companies, patients or clients and have a need for a cluster analysis. Cluster analysis is a collection of statistical methods, which identifies groups of samples that behave similarly or show similar characteristics. Table 1: Cluster analysis results. Table 3: Malnutrition rate studies conducted in Iraq from 1991 to 2005. Table 2: Household size and age structure by governorate.