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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]
English: The scatterplot of Iris flower data set, collected by Edgar Anderson and popularized in the Machine learning community by Ronald Fisher. Español: Diagrama de dispersión del conjunto de datos de la flor Iris , recolectada por Edgar Anderson y popularizada en la comunidad de aprendizaje automático por Ronald Fisher .
Floral diagram of Anagallis arvensis. [1]: 307 The dot represents the main axis, green structure below is the subtending bract. Calyx (green arcs) consists of five free sepals; corolla (red arcs) consists of five fused petals. Antepetalous stamens are joined to petals by hairy filaments.
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"Japanese iris" is also a catch-all term for the Japanese iris proper (hanashÅbu), the blood iris (I. sanguinea, ayame) and the rabbit-ear iris (I. laevigata, kakitsubata). I. unguicularis is a late-winter-flowering species from Algeria, with sky-blue flowers with a yellow streak in the centre of each petal, produced from Winter to Spring.
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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.
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