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  2. 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 ...

  3. Caltech 101 - Wikipedia

    en.wikipedia.org/wiki/Caltech_101

    Caltech 101. Caltech 101 is a data set of digital images created in September 2003 and compiled by Fei-Fei Li, Marco Andreetto, Marc 'Aurelio Ranzato and Pietro Perona at the California Institute of Technology. It is intended to facilitate computer vision research and techniques and is most applicable to techniques involving image recognition ...

  4. Determining the number of clusters in a data set - Wikipedia

    en.wikipedia.org/wiki/Determining_the_number_of...

    The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]

  5. TV by the Numbers - Wikipedia

    en.wikipedia.org/wiki/TV_by_the_Numbers

    TV by the Numbers. TV by the Numbers was a website devoted to collecting and analyzing television ratings data in the United States that operated from 2007 to 2020. It was a part of Nexstar Media Group 's Zap2it television news/listings site.

  6. List of mass spectrometry software - Wikipedia

    en.wikipedia.org/wiki/List_of_mass_spectrometry...

    Link library and tools that are a set of modular and extensible open-source, cross-platform tools and software libraries that facilitate proteomics data analysis. ProteoWorker: Proprietary: Cloud-based software for proteomics data analysis including COMET, Peptide Prophet, ProteinProphet and extensive data sorting, filtering and annotation tools.

  7. LabelMe - Wikipedia

    en.wikipedia.org/wiki/LabelMe

    LabelMe. LabelMe is a project created by the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) that provides a dataset of digital images with annotations. The dataset is dynamic, free to use, and open to public contribution. The most applicable use of LabelMe is in computer vision research.

  8. TMS (entertainment data) - Wikipedia

    en.wikipedia.org/wiki/TMS_(entertainment_data)

    TMS is an international provider of data for TV and movies. As part of its On Entertainment product line, the company supplies data to companies such as TiVo, Roku, Virgin Media, DIRECTV and Time Warner Cable to enable entertainment guides and applications. In addition, the metadata is used for media measurement and analysis.

  9. Randomness test - Wikipedia

    en.wikipedia.org/wiki/Randomness_test

    Randomness test. A randomness test (or test for randomness ), in data evaluation, is a test used to analyze the distribution of a set of data to see whether it can be described as random (patternless). In stochastic modeling, as in some computer simulations, the hoped-for randomness of potential input data can be verified, by a formal test for ...