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  2. Template:R from merge/testcases - Wikipedia

    en.wikipedia.org/wiki/Template:R_from_merge/test...

    This is the template test cases page for the sandbox of Template:R from merge to update the examples. If there are many examples of a complicated template, later ones may break due to limits in MediaWiki; see the HTML comment "NewPP limit report" in the rendered page. You can also use Special:ExpandTemplates to examine the results of template uses. You can test how this page looks in the ...

  3. Data blending - Wikipedia

    en.wikipedia.org/wiki/Data_blending

    However, ETL is used to merge and structure data into a target database, [6] often a data warehouse. Data blending differs slightly as it's about joining data for a specific use case at a specific time. [7] With some software, data isn't written into a database, which is very different to ETL. For example, with Google Data Studio. [8]

  4. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.

  5. Sort-merge join - Wikipedia

    en.wikipedia.org/wiki/Sort-merge_join

    The sort-merge join (also known as merge join) is a join algorithm and is used in the implementation of a relational database management system. The basic problem of a join algorithm is to find, for each distinct value of the join attribute, the set of tuples in each relation which display that value. The key idea of the sort-merge algorithm is ...

  6. R (programming language) - Wikipedia

    en.wikipedia.org/wiki/R_(programming_language)

    R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.

  7. Split and merge segmentation - Wikipedia

    en.wikipedia.org/wiki/Split_and_merge_segmentation

    Split and merge segmentation is an image processing technique used to segment an image. The image is successively split into quadrants based on a homogeneity criterion and similar regions are merged to create the segmented result. The technique incorporates a quadtree data structure, meaning that there is a parent-child node relationship. The ...

  8. The No Doubt song Gwen Stefani says she 'wouldn't be here ...

    www.aol.com/no-doubt-song-gwen-stefani-141448958...

    Gwen Stefani's career-defining hit "Don't Speak" impacted more than just her music career.. The former No Doubt frontwoman opened up to People on Monday about how she "wouldn't be here" without ...

  9. k-way merge algorithm - Wikipedia

    en.wikipedia.org/wiki/K-way_merge_algorithm

    An example of such is the classic merge that appears frequently in merge sort examples. The classic merge outputs the data item with the lowest key at each step; given some sorted lists, it produces a sorted list containing all the elements in any of the input lists, and it does so in time proportional to the sum of the lengths of the input lists.