Example 23.3: Cluster Analysis of Fisher Iris Data The iris data published by Fisher (1936) have been widely used for examples in discriminant analysis and cluster analysis. The sepal length, sepal ...

Cluster analysis enables investors to eliminate overlap in their portfolio by identifying securities with related returns. For example, a portfolio of only technology stocks may seem safe and ...

Example 23.1: Cluster Analysis of Flying Mileages between Ten American Cities This first example clusters ten American cities based on the flying mileages between them. Six clustering methods are ...

Cluster analysis tells you about clusters of words that are getting stronger or weaker. For example, it is clear the probability that BP and "oil spill" appear close to each other spiked recently.

The goal of clustering analysis is to establish a set of meaningful groups of similar objects by investigating relationships between objects. For example, if you have data from customers, you may ...

Cluster analysis methods can be leveraged to develop ... is warranted before designing specific tailored interventions. For example, the specific needs of persons with mental health conditions ...

Here, we present a protocol for the analysis of clustering in data generated by 2D single-molecule localization microscopy (SMLM)—for example, photoactivated localization microscopy (PALM ...

Cluster analysis yielded four clusters with reasonable overall structure ... pending replication of these findings in a larger, representative sample. This paper also provides guidance for development ...