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Finding Groups in Data: An Introduction to Cluster Analysis Leonard Kaufman, Peter J. Rousseeuw
Publisher: Wiley-Interscience

Jolliffe IT: Principal Component Analysis. Because the clustering method failed to separate the patient data into groups by obvious traditional physiological definitions these results confirm our hypothesis that clustering would find meaningful patterns of data that were otherwise impossible to physiologically discern or classify using traditional clinical definitions. The information obtained from the organizational survey enabled us to characterize PHC organizations. Data mining uses sophisticated mathematical algorithms that segment the Clustering: Finding groups of objects such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups. Our goal was to establish an organizational classification which would group PHC organizations based on their common characteristics. The aims of Module 1 are: To give a broad overview of how research questions might be answered through . Hoboken, NJ: John Wiley & Sons, Inc; 1990:1986. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis, John Wiley & Sons, Hoboken, NJ, USA, 2005. Introduction of Data mining: Data mining is a training devices that automatically search large stores of data to find patterns and trends that go beyond simple analysis. Kaufman L, Rousseeuw PJ: Finding Groups in Data: An Introduction to Cluster Analysis. When individuals form groups or clusters, we might expect that two randomly selected individuals from the same group will tend to be more alike than two individuals selected from different groups. Hierarchical cluster analysis allows visualization of high dimensional data and enables pattern recognition and identification of physiologic patient states. In Module 1 we look at quantitative research and how we collect data, in order to provide a firm foundation for the analyses covered in later modules. The organizational data were analyzed ..