series_cosine_similarity()

This article describes series_cosine_similarity().

Calculate the cosine similarity of two numerical vectors.

The function series_cosine_similarity() takes two numeric series as input, and calculates their cosine similarity.

Syntax

series_cosine_similarity(series1, series2, [*magnitude1, [*magnitude2]])

Parameters

NameTypeRequiredDescription
series1, series2dynamic✔️Input arrays with numeric data.
magnitude1, magnitude2realOptional magnitude of the first and the second vectors respectively. The magnitude is the square root of the dot product of the vector with itself. If the magnitude isn’t provided, it will be calculated.

Returns

Returns a value of type real whose value is the cosine similarity of series1 with series2. In case both series length isn’t equal, the longer series will be truncated to the length of the shorter one. Any non-numeric element of the input series will be ignored.

Example

target="_blank">Run the query

datatable(s1:dynamic, s2:dynamic)
[
    dynamic([0.1,0.2,0.1,0.2]), dynamic([0.11,0.2,0.11,0.21]),
    dynamic([0.1,0.2,0.1,0.2]), dynamic([1,2,3,4]),
]
| extend cosine_similarity=series_cosine_similarity(s1, s2)
s1s2cosine_similarity
[0.1,0.2,0.1,0.2][0.11,0.2,0.11,0.21]0.99935343825504
[0.1,0.2,0.1,0.2][1,2,3,4]0.923760430703401

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