説明中心

sparsity

[ˈspɑːsəti]

sparsity Definition

the quality or state of being sparse, thin, or scarce.

Using sparsity: Examples

Take a moment to familiarize yourself with how "sparsity" can be used in various situations through the following examples!

  • Example

    The sparsity of trees in the desert is due to the lack of water.

  • Example

    The sparsity of data made it difficult to draw any conclusions.

  • Example

    The sparsity of furniture in the room gave it a minimalist feel.

sparsity Synonyms and Antonyms

Phrases with sparsity

  • a pattern that describes the distribution of non-zero elements in a matrix or vector

    Example

    The sparsity pattern of the matrix can be used to optimize computations.

  • the ratio of the number of zero elements to the total number of elements in a matrix or vector

    Example

    The sparsity ratio of the data set was quite high, indicating a lot of missing values.

  • sparsity-induced regularization

    a technique used in machine learning to prevent overfitting by adding a penalty term to the loss function based on the sparsity of the model's parameters

    Example

    Sparsity-induced regularization can help improve the generalization performance of a model.

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Summary: sparsity in Brief

The term 'sparsity' [ˈspɑːsəti] refers to the quality or state of being sparse, thin, or scarce. It can describe physical objects like trees in a desert or furniture in a room, or abstract concepts like data sets. 'Sparsity' also has technical uses in fields like mathematics and machine learning, such as 'sparsity pattern' and 'sparsity-induced regularization.'