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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 ...
Manuscript under review in Cell Press journals >1,000 2018 Elsevier: ChemRxiv [10] Chemistry: Open access preprint archive for chemistry >10,000 2017 American Chemical Society, Royal Society of Chemistry & German Chemical Society: ChinaXiv: Multidisciplinary: Preprint server for interdisciplinary research in China >10,000 2016
Chemical Abstracts Service Building B in August 2009. Columbus, Ohio. STN (Scientific & Technical Information Network) International is operated jointly [4] by CAS and FIZ Karlsruhe, and is intended primarily for information professionals, using a command language interface.
While data reduction (compression, be it lossy or lossless) is a main goal of transform coding, it also allows other goals: one may represent data more accurately for the original amount of space [5] – for example, in principle, if one starts with an analog or high-resolution digital master, an MP3 file of a given size should provide a better ...
It does not include delayed open access journals, hybrid open access journals, or related collections or indexing services. True open-access journals can be split into two categories: diamond or platinum open-access journals , which charge no additional publication, open access or article processing fees
In fact, if we consider files of length N, if all files were equally probable, then for any lossless compression that reduces the size of some file, the expected length of a compressed file (averaged over all possible files of length N) must necessarily be greater than N. [citation needed] So if we know nothing about the properties of the data ...