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  2. File:LD 30 - 2024.pdf - Wikipedia

    en.wikipedia.org/wiki/File:LD_30_-_2024.pdf

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  3. Organizational space - Wikipedia

    en.wikipedia.org/wiki/Organizational_space

    Organizational space, sometimes called organizational architecture, describes the influence of the spatial environment on the health, the mind, and the behavior of humans in and around organizations. [1] It is an area of scientific research in which interdisciplinarity is a central perspective.

  4. File:Hierarchy Community Phenotype Model of Organizational ...

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

    Original file (1,752 × 1,237 pixels, file size: 6 KB, MIME type: application/pdf) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  5. Organizational architecture - Wikipedia

    en.wikipedia.org/wiki/Organizational_architecture

    Organizational architecture, also known as organizational design, is a field concerned with the creation of roles, processes, and formal reporting relationships in an organization. It refers to architecture metaphorically, as a structure which fleshes out the organizations.

  6. Theories of urban planning - Wikipedia

    en.wikipedia.org/wiki/Theories_of_urban_planning

    In the process of creating an urban plan or urban design, carrier-infill is one mechanism of spatial organization in which the city's figure and ground components are considered separately. The urban figure, namely buildings, is represented as total possible building volumes, which are left to be designed by architects in the following stages.

  7. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.

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