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Scatterplot of the data set. The Iris flower data set or Fisher's Iris data set is a multivariate data set used and made famous by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis. [1]
Deutsch: Iris flower data set, mit dem k-Means-Algorithmus analysiert (links) und die wahren Spezien im Datensatz (rechts). Da k-means nicht deterministisch ist, variieren die Ergebnisse. Die Clusterzentren sind durch größere, halbtransparente Markierungen eingezeichnet.
In 1936, he introduced the Iris flower data set as an example of discriminant analysis. [66] In his 1937 paper The wave of advance of advantageous genes he proposed Fisher's equation in the context of population dynamics to describe the spatial spread of an advantageous allele, and explored its travelling wave solutions. [67]
Iris japonica, commonly known as fringed iris, shaga and butterfly flower, is a native of China and Japan. It is a species in the genus Iris, in the subgenus Limniris and within the Lophiris section. It is a rhizomatous perennial plant, with pale blue, lavender or white flowers with an orange or yellow crest.
Iris douglasiana, the Douglas iris, is a common wildflower of the coastal regions of Northern and Central California and southern Oregon in the United States. [2] It grows mainly at lower elevations, below 100 meters (330 ft), though it is occasionally found at heights of up to 1,000 meters (3,300 ft).
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Iris giganticaerulea, the giant blue iris, is a species of iris, in the subgenus Limniris, in the series Hexagonae.It is a rhizomatous perennial, from northern America.It has long bright green leaves, very tall stems and one or two musky fragrant flowers in a range of blue shades (pale, bright, dark, lavender and violet) or rarely white.