Normalized compression distance (NCD) is a way of measuring the similarity between two objects, be it two documents, two letters, two emails, two music scores, two languages, two programs, two pictures, two systems, two genomes, to name a few. Such a measurement should not be application dependent or arbitrary. A reasonable definition for the similarity between two objects is how difficult it is to transform them into each other.
It can be used in information retrieval and data mining for cluster analysis.
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Normalizedcompressiondistance (NCD) is a way of measuring the similarity between two objects, be it two documents, two letters, two emails, two music...
d(X)=\max(X)-\min(X)} . More complex examples are information distance in multisets; and normalizedcompressiondistance (NCD) in multisets. Acoustic metric – Tensor characterizing...
semantics supplied by Google. The normalized Google distance is derived from the earlier normalizedcompressiondistance. Namely, objects can be given literally...
in. It is applied in the normalizedcompressiondistance and the normalized Google distance. Formally the information distance I D ( x , y ) {\displaystyle...
Non-convergent discourse, an asymmetricly bilingual conversation Normalizedcompressiondistance, in statistics and information theory Nearly completely decomposable...
allows to capture high frequency events. Open source NCD (normalizedcompressiondistance) ESA (explicit semantic analysis) based on Wikipedia and the...
language models Vector space model Thought vector fastText GloVe Normalizedcompressiondistance Mikolov, Tomas; et al. (2013). "Efficient Estimation of Word...
greater compression: For x86, ARM, PowerPC (PPC), IA-64 Itanium, and ARM Thumb processors, jump targets are 'normalized' before compression by changing...
data compression well suited for image compression (sometimes also video compression and audio compression) Transform coding: type of data compression for...
continuous quality-scale (SSCQS) normalized metric Mean Opinion Score (MOS), the overall DSCQS score is normalized to the range (−100, 100) and is termed...
The chirp pulse compression process transforms a long duration frequency-coded pulse into a narrow pulse of greatly increased amplitude. It is a technique...
is not a distance function. However, under certain conditions, SSIM may be converted to a normalized root MSE measure, which is a distance function....
normalized cross-power spectrum Block-based methods – minimizing sum of squared differences or sum of absolute differences, or maximizing normalized cross-correlation...
derivative of phase, with the instantaneous ordinary frequency, f, being its normalized version: ω ( t ) = d ϕ ( t ) d t , f ( t ) = ω ( t ) 2 π {\displaystyle...
Probability distributions defined on a finite number of points can always be normalized, but when these are defined over continuous spaces, then extra care is...
Among these are normalized variants and generalizations to more than two variables. Many applications require a metric, that is, a distance measure between...
Another technique that is based on motion is rigid motion segmentation. Compression based methods postulate that the optimal segmentation is the one that...
recognition, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Cluster analysis refers to a...
In thermodynamics, the compressibility factor (Z), also known as the compression factor or the gas deviation factor, describes the deviation of a real...
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