Average Competitive Learning Vector Quantization
From MaRDI portal
Publication:5418873
DOI10.1080/03610918.2012.733469zbMath1333.65014OpenAlexW1990646304MaRDI QIDQ5418873
Luis A. Salomón Hernández, Li-Vang Lozada-Chang, Jean-Claude Fort
Publication date: 30 May 2014
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2012.733469
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Cites Work
- Unnamed Item
- A central limit theorem for k-means clustering
- About the multidimensional competitive learning vector quantization algorithm with constant gain
- A space quantization method for numerical integration
- Self-consistency: A fundamental concept in statistics
- Asymptotic normality for a vector stochastic difference equation with applications in stochastic approximation
- On the a.s. convergence of the Kohonen algorithm with a general neighborhood function
- Foundations of quantization for probability distributions
- Applications of a Kushner and Clark lemma to general classes of stochastic algorithms
- Convergence of stochastic algorithms: from the Kushner–Clark theorem to the Lyapounov functional method
- First-Order Schemes in the Numerical Quantization Method
- Optimal quadratic quantization for numerics: the Gaussian case
This page was built for publication: Average Competitive Learning Vector Quantization