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What is Clusterization

Handbook of Research on Big Data Storage and Visualization Techniques
Refers to the methods of classifying Big Data into a hierarchical structure.
Published in Chapter:
Visualization and Storage of Big Data for Linguistic Applications
Dan Ophir (Ariel University, Israel & Tel Aviv University, Israel)
DOI: 10.4018/978-1-5225-3142-5.ch025
Abstract
The following two main tendencies occur: 1) increase in the amount of the computational power around the world and increasing its sensitivity and functionality (communication, imaging, voice recording, position retrieval, etc.) causing growth of data; 2) decrease in the qualifications which are required to operate that computational power are two phenomena feeding themselves mutually: increasing the amount of PC's, Laptops, iPads, iPhones available with simpler and more intuitive operating instructions. This situation requires simplifying the data perception by the more developed human sense – the vision by untrained person even by a kid who doesn't know how to read and write. Such approach may easily make the media accessible to more and more people. Therefore, so called human interfaces are mainly supported by the vision, the most accurate human sense which demands developing the present methodology of visualizing huge data.
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