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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] It is sometimes called Anderson's Iris data set because Edgar ...

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

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

    A dataset for NLP and climate change media researchers The dataset is made up of a number of data artifacts (JSON, JSONL & CSV text files & SQLite database) Climate news DB, Project's GitHub repository [388] ADGEfficiency Climatext Climatext is a dataset for sentence-based climate change topic detection. HF dataset [389] University of Zurich ...

  4. Tab-separated values - Wikipedia

    en.wikipedia.org/wiki/Tab-separated_values

    Tab-separated values (TSV) is a simple, text-based file format for storing tabular data. [3] Records are separated by newlines, and values within a record are separated by tab characters. The TSV format is thus a delimiter-separated values format, similar to comma-separated values. TSV is a simple file format that is widely supported, so it is ...

  5. 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.

  6. File:SOM of Fishers Iris flower data set.JPG - Wikipedia

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

    File information Description SOM of Fishers Iris flower data set: Neurons (40 x 40 square grid) are trained for 250 iterations with a learning rate of 0.1 using the normalized Iris flower data set which has four dimensional data vectors.

  7. Comma-separated values - Wikipedia

    en.wikipedia.org/wiki/Comma-separated_values

    Comma-separated values. Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record. Each record consists of the same number of fields, and these are ...

  8. MNIST database - Wikipedia

    en.wikipedia.org/wiki/MNIST_database

    Sample images from MNIST test dataset. The MNIST database (Modified National Institute of Standards and Technology database[1]) is a large database of handwritten digits that is commonly used for training various image processing systems. [2][3] The database is also widely used for training and testing in the field of machine learning. [4][5 ...

  9. File:Iris Flowers Clustering kMeans.svg - Wikipedia

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

    Summary. Description. Iris Flowers Clustering kMeans.svg. 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.