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Random projection

In mathematics and statistics, random projection is a technique used to reduce the dimensionality of a set of points which lie in Euclidean space. According to theoretical results, random projection preserves distances well, but empirical results are sparse. They have been applied to many natural language tasks under the name random indexing.

Measurement, Method & Large quasiorthogonal bases

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Overview

Dimensionality reduction

Method

Large quasiorthogonal bases

Implementations

Advanced semantic analysis

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Map overview Semantic statistics

Random projection

Nodes30
Edges29
Triples33
Avg. degree1.93
Density0.066667
Components1

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Random projection

Top relations

related to Further reading · 13
Random projection → Aditya, Aditya Krishna, Cite, CiteSeerX, Fodor, Imola, Menon, Projections, Ramdas, Random, Random Introduction To Random, Report, Thesis
related to Method · 7
Random projection → If, In, Johnson-Lindenstrauss, Random, RP, The, Using
related to Dimensionality reduction · 4
Random projection → Dimensionality, For, Random, The
related to Random Projection with Quantization · 4
Random projection → It, Random, RP, SimHash
related to Implementations · 3
Random projection → An, Python, RandPro
is a · 2
Random projection → simple and computationally efficient way to reduce the dimensionality of data by trading a controlled amount of error for faster processing times and smaller model sizes, technique used to reduce the dimensionality of a set of points which lie in Euclidean space

Important terminology Word statistics

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Important terminology

random projection displaystyle data matrix space large dimensionality orthogonal distribution dimension reduction times vector unit vectors distances sparse efficient using

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Random projectionis atechnique used to reduce the dimensionality of a set of points which lie in Euclidean space0.90text
Random projectionis asimple and computationally efficient way to reduce the dimensionality of data by trading a controlled amount of error for faster processing times and smaller model sizes0.90text
Random projectionrelated to Dimensionality reductionDimensionality0.60section
Random projectionrelated to Dimensionality reductionFor0.60section
Random projectionrelated to Dimensionality reductionRandom0.60section
Random projectionrelated to Dimensionality reductionThe0.60section
Random projectionrelated to Further readingFodor0.60section
Random projectionrelated to Further readingImola0.60section
Random projectionrelated to Further readingReport0.60section
Random projectionrelated to Further readingCiteSeerX0.60section
Random projectionrelated to Further readingCite0.60section
Random projectionrelated to Further readingMenon0.60section

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    Min side: 3
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