Search results
Results from the Health.Zone Content Network
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] It is sometimes called Anderson's Iris data set because Edgar ...
List of datasets in computer vision and image processing. Outline of machine learning. v. t. e. These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning ...
Iris setosa, the bristle-pointed iris, is a species of flowering plant in the genus Iris of the family Iridaceae, it belongs the subgenus Limniris and the series Tripetalae.It is a rhizomatous perennial from a wide range across the Arctic sea, including Alaska, Maine, Canada (including British Columbia, Newfoundland, Quebec and Yukon), Russia (including Siberia), northeastern Asia, China ...
Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936).. 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.
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.
k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster.
Iris virginica is a perennial plant that grows up to 0.6–0.9 m (2–3 ft) tall. The plant's sword-shaped basal leaves are erect or sometimes arching and measure up to 91 cm (3 ft) long and 2.5 cm (1 in) across at the base. The leaves have smooth margins and are bluish green to green and glabrous. Unbranched or sparingly branched flowering ...