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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]
Iris Dataset: Three types of iris plants are described by 4 different attributes. None. 150 Text Classification 1936 [303] [304] R. Fisher Plant Species Leaves Dataset Sixteen samples of leaf each of one-hundred plant species. Shape descriptor, fine-scale margin, and texture histograms are given. 1600 Text Classification 2012 [305] [306] J ...
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 .
Download QR code; Print/export ... Iris flower data set; K. King effect; L. ... Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; ...
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. The visualization was generated using ELKI.
Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936). [1]A data set (or dataset) is a collection of data.In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question.
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