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  2. Iris flower data set - Wikipedia

    en.wikipedia.org/wiki/Iris_flower_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]

  3. Data set - Wikipedia

    en.wikipedia.org/wiki/Data_set

    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.

  4. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Data from nine subjects collected using P300-based brain-computer interface for disabled subjects. Split into four sessions for each subject. MATLAB code given. 1,224 Text Classification 2008 [263] [264] U. Hoffman et al. Heart Disease Data Set Attributed of patients with and without heart disease.

  5. Iris - Wikipedia

    en.wikipedia.org/wiki/Iris

    Iris most often refers to: Iris (anatomy), part of the eye; ... Iris flower data set, a standard example data set for use in statistics (and related software)

  6. Iris (plant) - Wikipedia

    en.wikipedia.org/wiki/Iris_(plant)

    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.

  7. Decision stump - Wikipedia

    en.wikipedia.org/wiki/Decision_stump

    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 ...

  8. k-means clustering - Wikipedia

    en.wikipedia.org/wiki/K-means_clustering

    A mean shift algorithm that is similar then to k-means, called likelihood mean shift, replaces the set of points undergoing replacement by the mean of all points in the input set that are within a given distance of the changing set. [66] An advantage of mean shift clustering over k-means is the detection of an arbitrary number of clusters in ...

  9. File:Iris dataset scatterplot.svg - Wikipedia

    en.wikipedia.org/wiki/File:Iris_dataset_scatter...

    The scatterplot was made by the R programming language, an open source language for statistics.The Iris data set is a public domain data set and it is built-in by default in R framework.