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...

a fast approximate k-NN search using locality-sensitive hashing, random projection, "sketches", or other high-dimensional similarity search techniques...

preserved. In the classical proof of the lemma, the embedding is a random orthogonal projection. The lemma has applications in compressed sensing, manifold learning...

implementation of TLSH is available as open-source software. The random projection method of LSH due to Moses Charikar called SimHash (also sometimes...

need to be tuned. These hidden nodes can be randomly assigned and never updated (i.e. they are random projection but with nonlinear transforms), or can be...

an incremental formulation of a random projection. It can be also verified that random indexing is a random projection technique for the construction of...

doi:10.1007/s10994-009-5103-0. Dasgupta, S.; Freund, Y. (July 2009). "Random Projection Trees for Vector Quantization". IEEE Transactions on Information Theory...

ISBN 9781605585161, S2CID 8522279 Bingham, Ella; Mannila, Heikki (2001). "Random projection in dimensionality reduction". Proceedings of the seventh ACM SIGKDD...

causing them to become correlated. An analysis of how bagging and random subspace projection contribute to accuracy gains under different conditions is given...

product of the original vectors. Random variable Semantic mapping Random projection Kaski, S. Dimensionality reduction by random mapping: fast similarity computation...

choice of the random vectors Z 1 , … , Z k − 1 {\displaystyle Z_{1},\ldots ,Z_{k-1}} (hence we fix the choice of the random projections P 1 , … , P k...

algorithms. Examples of approximation (or heuristic) algorithms include Random Projection, PatternBranching, MULTIPROFILER, CONSENSUS, and ProfileBranching...

distribution of the random vector ( X ( t 1 ) , … , X ( t n ) ) {\displaystyle (X({t_{1}}),\dots ,X({t_{n}}))} ; it can be viewed as a "projection" of the law...

In statistics, Hájek projection of a random variable T {\displaystyle T} on a set of independent random vectors X 1 , … , X n {\displaystyle X_{1},\dots...

study of non-symmetric random matrices. They showed that if n is large and the entries of a n × n matrix A are selected randomly according to any fixed...

more complex hierarchies. FOPTICS is a faster implementation using random projections. HDBSCAN* is based on a refinement of DBSCAN, excluding border-points...

{1}{c}}\log 1/\delta )^{c}} is necessary for constructions using tensor randomized projections with Gaussian entries. Because of the exponential dependency on...

Java implementation of LSA Semantic Vectors applies Random Projection, LSA, and Reflective Random Indexing to Lucene term-document matrices Infomap Project...

term frequency-inverse document frequency, latent semantic indexing, random projections and latent Dirichlet allocation. Weka. Weka is a popular data mining...

factorization (NMF), latent Dirichlet allocation (LDA), tf-idf and random projections. Some of the novel online algorithms in Gensim were also published...

S2CID 2982392. Cannings, Timothy I.; Samworth, Richard J. (2017). "Random-projection ensemble classification". Journal of the Royal Statistical Society...

algorithms, randomized algorithms, computational geometry, and computational learning theory, including the authorship of books on random projection and spectral...

(univariate) normal distribution to higher dimensions. One definition is that a random vector is said to be k-variate normally distributed if every linear combination...

The Lambert azimuthal equal-area projection is a particular mapping from a sphere to a disk. It accurately represents area in all regions of the sphere...

philosophy. A treatment which unifies Bloom filters with other work on random projections, compressive sensing, and locality sensitive hashing remains to be...

(2006). Improved approximation algorithms for large matrices via random projections. FOCS'06. Song, Zhao; Woodruff, David P.; Zhong, Peilin (2017). Low...

number of petals, defined by choosing a random permutation for the branches of a petal diagram. A petal projection is a description of a knot as a special...

Rademacher complexity Radial basis function kernel Rand index Random indexing Random projection Random subspace method Ranking SVM RapidMiner Rattle GUI Raymond...

target structure. Whereas piriform cortex is innervated mostly randomly, projections to the anterior olfactory nucleus and amygdala retain some topographic...

LeGland, and the later projection filter in direct L2 metric by Armstrong and Brigo (2016). It is assumed that the unobserved random signal X t ∈ R m {\displaystyle...