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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
Publisher: Wiley-Interscience
Format: pdf
ISBN: 0471735787, 9780471735786
Page: 355

The data comes from a questionnaire. My research question is about elderly people and I have to find out underlying groups. The organizational data were analyzed .. Not surprisingly, visualization techniques are at the heart of science and engineering [1]. One of the ultimate goals of .. Publications on Spatial Database and Spatial Data Mining at UMN . Finding Groups in Data: An Introduction to Cluster Analysis (Wiley. Knowledge Discovery and Data Mining (PAKDD. In contrast to supervised machine learning, unsupervised learning such as cluster analysis can be used independently of prior knowledge to find groups within data. Humans are essentially a visual species. Most of our sensory neocortex is engaged in the processing of visual inputs that we gather from our surroundings. The information obtained from the organizational survey enabled us to characterize PHC organizations. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis, John Wiley & Sons, Hoboken, NJ, USA, 2005. Our goal was to establish an organizational classification which would group PHC organizations based on their common characteristics.