Cluster analysis is a technique used to group sets of objects that share similar characteristics. It is common in statistics. Investors will use cluster analysis to develop a cluster trading approach ...
The following example demonstrates how you can use the CLUSTER procedure to compute hierarchical clusters of observations in a SAS data set. Suppose you want to determine whether national figures for ...
Staff at public health departments have few training materials to learn how to design and fine-tune systems to quickly detect acute, localized, community-acquired outbreaks of infectious diseases.
Abstract (200 words): Previous studies have not reached a consensus on the number of phonemic vowels in Mandarin, with proposed systems ranging from four to six vowels. Since traditional top-down ...
Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A new study ...
The Northern Adriatic is a dynamic and the most productive part of the Adriatic Sea. The phytoplankton of the Northern Adriatic is, as many studies in this area showed, under heavy influence of ...
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