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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. This process condenses extensive ...
A disk compression software utility increases the amount of information that can be stored on a hard disk drive of given size. Unlike a file compression utility, which compresses only specified files—and which requires the user to designate the files to be compressed—an on-the-fly disk compression utility works automatically through resident software without the user needing to be aware of ...
HTTP compression is a capability that can be built into web servers and web clients to improve transfer speed and bandwidth utilization. [1]HTTP data is compressed before it is sent from the server: compliant browsers will announce what methods are supported to the server before downloading the correct format; browsers that do not support compliant compression method will download uncompressed ...
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Finding synonyms of words, and searching for the synonyms as well; Finding semantically related words (e.g. antonyms, meronyms, hyponyms, hypernyms) Finding all the various morphological forms of words by stemming each word in the search query; Fixing spelling errors and automatically searching for the corrected form or suggesting it in the results
A desirable difficulty is a learning task that requires a considerable but desirable amount of effort, thereby improving long-term performance. It is also described as a learning level achieved through a sequence of learning tasks and feedback that lead to enhanced learning and transfer.
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