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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]
An example of a decision stump that discriminates between two of three classes of Iris flower data set: Iris versicolor and Iris virginica. The petal width is in centimetres. This particular stump achieves 94% accuracy on the Iris dataset for these two classes. A decision stump is a machine learning model consisting of a one-level decision tree ...
Iris uniflora is a species in the genus Iris and in the subgenus Limniris. It is a rhizomatous perennial , from Russia , Mongolia , China and Korea . It has thin grass-like leaves and stems, and purple, blue-purple or violet flowers.
Iris is a flowering plant genus of 310 accepted species [1] with showy flowers.As well as being the scientific name, iris is also widely used as a common name for all Iris species, as well as some belonging to other closely related genera.
English: Iris flower data set, clustered using k means (left) and true species in the data set (right). Note that k-means is non-determinicstic, so results vary. Cluster means are visualized using larger, semi-transparent markers.
Iris milesii (also known as the red flower iris) is a plant species in the genus Iris, subgenus Limniris and in the section Lophiris (crested irises). It is a rhizomatous, beardless perennial plant, native to the Himalayas, India and China. It has pinkish-violet, or pinkish purple, or pinkish-lavender or pinkish lilac flowers, with a fringed ...
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Iris grant-duffii is a species in the genus Iris.It is also in the subgenus Limniris and in the series Syriacae.It is a rhizomatous perennial, from Lebanon, Israel, Syria, Turkey, Lebanon and Iraq, which has brown bristles/spines on the rhizome, long thin greyish green leaves, short stem carrying a single scented flower in shades of yellow.