| dbo:abstract |
Lernende Vektorquantisierung, englisch learning vector quantization (kurz: LVQ), ist ein Verfahren aus dem Bereich der künstlichen neuronalen Netze. Es dient der Klassifikation von nichtlinearen Problemen. VQ = Vektorquantisierung: Verfahren zum unüberwachten Clustering LVQ = Lernende VQ Klassifikation: Abbildung in K KlassenTrainingmenge P P = {(xi,yi) in x{1..K}|i} LVQ-Netz:gegeben durch Prototypen (w1,Y1)…(wk,Yk) in {1..K}definiert Abbildung x → Yi mit |
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http://www.cis.hut.fi/panus/papers/dtwsom.pdf http://www.cis.hut.fi/research/lvq_pak/ |
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| rdfs:comment |
In computer science, learning vector quantization (LVQ) is a prototype-based supervised classification algorithm. LVQ is the supervised counterpart of vector quantization systems. (en) Kuantisasi vektor belajar (KVB), (bahasa Inggris: learning vector quantization (LVQ)) adalah ilmu komputer yang merupakan algoritme klasifikasi untuk melihat pola prototipe. LVQ merupakan sistem kuantisasi vektor pasangan pengawas. (in) 在计算机科学中，学习向量量化（Learning Vector Quantization，LVQ）是一种基于原型的监督学习统计分类算法。 LVQ是向量量化的监督版本。 (zh) Lernende Vektorquantisierung, englisch learning vector quantization (kurz: LVQ), ist ein Verfahren aus dem Bereich der künstlichen neuronalen Netze. Es dient der Klassifikation von nichtlinearen Problemen. VQ = Vektorquantisierung: Verfahren zum unüberwachten Clustering LVQ = Lernende VQ Klassifikation: Abbildung in K KlassenTrainingmenge P P = {(xi,yi) in x{1..K}|i} LVQ-Netz:gegeben durch Prototypen (w1,Y1)…(wk,Yk) in {1..K}definiert Abbildung x → Yi mit |
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Lernende Vektorquantisierung (de) Kuantisasi vektor belajar (in) Learning vector quantization (en) 学习向量量化 (zh) |
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