Begins with general topics applicable to all methods that cluster numerical data. Subsequent chapters develop the theory and applications of the four most popular clustering algorithms. Specifically, hard c-means (aka "k-means"), fuzzy c-means, Gaussian mixture decomposition and single linkage.
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Begins with general topics applicable to all methods that cluster numerical data. Subsequent chapters develop the theory and applications of the four most popular clustering algorithms. Specifically, hard c-means (aka "k-means"), fuzzy c-means, Gaussian mixture decomposition and single linkage.
Read Less
Add this copy of A Primer on Cluster Analysis: 4 Basic Methods That to cart. $203.60, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2017 by First Edition Design Publishin.
