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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. List of datasets for machine-learning research - Wikipedia

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

    The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...

  4. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    This is a 21 class land use image dataset meant for research purposes. There are 100 images for each class. 2,100 Image chips of 256x256, 30 cm (1 foot) GSD Land cover classification 2010 [164] Yi Yang and Shawn Newsam SAT-4 Airborne Dataset Images were extracted from the National Agriculture Imagery Program (NAIP) dataset.

  5. k-means clustering - Wikipedia

    en.wikipedia.org/wiki/K-means_clustering

    The clusters are expected to be of similar size, so that the assignment to the nearest cluster center is the correct assignment. When for example applying k-means with a value of = onto the well-known Iris flower data set, the result often fails to separate the three Iris species contained in the

  6. 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.

  7. Hierarchical clustering - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_clustering

    Hierarchical clustering dendrogram of the Iris dataset (using R). Source Hierarchical clustering and interactive dendrogram visualization in Orange data mining suite. ALGLIB implements several hierarchical clustering algorithms (single-link, complete-link, Ward) in C++ and C# with O(n²) memory and O(n³) run time.

  8. 'It doesn't make sense': Why millions of children have lost ...

    www.aol.com/doesnt-sense-why-millions-children...

    It’s been five months, and Isabella's parents say she still hasn’t gotten her Medicaid back even though her brother — same family, same income — never lost his.

  9. Andrews plot - Wikipedia

    en.wikipedia.org/wiki/Andrews_plot

    An Andrews curve for the Iris data set. In data visualization, an Andrews plot or Andrews curve is a way to visualize structure in high-dimensional data. It is basically a rolled-down, non-integer version of the Kent–Kiviat radar m chart, or a smoothed version of a parallel coordinate plot. It is named after the statistician David F. Andrews.