similarity matrix
[sɪˈmɪlərɪti ˈmeɪtrɪks]
nounpl: similarity matrices
matriz de similaridade
1. A square matrix used in data analysis and machine learning that measures the degree of similarity between pairs of objects, observations, or data points, where each element represents a similarity score between two items
The similarity matrix showed high values between documents with related content.
A matriz de similaridade mostrou valores altos entre documentos com conteúdo relacionado.
2. In computational linguistics and NLP, a matrix containing numerical values that indicate how similar different words, texts, or linguistic units are to each other based on specific metrics
We constructed a similarity matrix using cosine distance to compare word embeddings.
Construímos uma matriz de similaridade usando distância do cosseno para comparar embeddings de palavras.
This is a technical term primarily used in academic and professional settings in both Brazil and the United States. It is a key concept in computer science, machine learning, and data analysis. The term has become increasingly important with the rise of artificial intelligence and natural language processing applications in both regions.
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