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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]
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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 .
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.
Anderson's data set on three related species of irises was used by Fisher as an example with which to demonstrate statistical methods of classification and has subsequently become very well known in the machine learning community, though often described as Fisher's iris data. [16] [17] Scatterplot of the Iris flower data set
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 ...
Download QR code; In other projects Appearance. ... Histogram of sepal widths for Iris versicolor from Fisher's Iris flower data set. SVG redraw of original image. Date:
Download as PDF; Printable version; ... Pages in category "Statistical data sets" ... Iris flower data set; K. King effect; L. Latinobarómetro; M.