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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 ...
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 ...
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.
PK4 – PK4 Doom³ archive (opens similarly to a zip archive.) PNJ – a sub-format of the MNG file format, used for encapsulating JPEG files [3] PXZ – a compressed layered image file used for the image editing website, pixlr.com. PY, PYW – Python code file. PMP – PenguinMod Project. PMS – PenguinMod Sprite.
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 ...
Download attachments in AOL Mail. If you've received an attachment in your email you want to save, you can download the file right to your computer. Download all attachments in a single zip file, or download individual attachments. While this is often a seamless process, you should also be aware of how to troubleshoot common errors.
Physicsmichael (talk) 01:00, 5 February 2014 (UTC) [reply] The text of the article explains that the data set does not cluster well, and is therefore not a good choice for evaluating clustering algorithms. It's not a matter of k-means implementation, but the result seen actually may be the global minimum (unverified, but plausible).