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 ...

For example, clustered sales data could reveal which items are often purchased together (famously, beer and diapers). If your data is completely numeric, then the k-means technique is simple and ...

This example illustrates the use of regression analysis in a simple random cluster sampling design. The data are from S rndal, Swenson, and Wretman (1992, p. 652). A total of 284 Swedish ...

Except for extremely small data sets, it's not feasible to examine every possible clustering. For example, for a data set with only 50 tuples and three clusters, there are 3^50 / 3! possible ...

Clustering algorithms. Clustering algorithms are a form of unsupervised learning algorithm. With unsupervised learning, an algorithm is subjected to “unknown” data for which no previously ...

The authors evaluate clustering techniques using real data, and find that with sample sizes of less than 50, the reproducibility of results is poor. Article CAS PubMed PubMed Central Google Scholar ...