Similarity search

The aeon.similarity_search module contains algorithms and tools for similarity search tasks.

Similarity search estimators

QuerySearch([k, threshold, distance, ...])	Query search estimator.
SeriesSearch([k, threshold, distance, ...])	Series search estimator.

Distance profile functions

naive_distance_profile(X, q, mask, ...[, ...])	Compute a distance profile in a brute force way.
normalized_naive_distance_profile(X, q, ...)	Compute a distance profile in a brute force way.
euclidean_distance_profile(X, q, mask)	Compute a distance profile using the squared Euclidean distance.
normalized_euclidean_distance_profile(X, q, ...)	Compute a distance profile in a brute force way.
squared_distance_profile(X, q, mask)	Compute a distance profile using the squared Euclidean distance.
normalized_squared_distance_profile(X, q, ...)	Compute a distance profile in a brute force way.

Matrix profile functions

naive_matrix_profile(X, T, length[, k, ...])	Compute a matrix profile in a naive way, by looping through a query search.
stomp_normalized_euclidean_matrix_profile(X, ...)	Compute a euclidean matrix profile using STOMP [R09890e332136-1].
stomp_euclidean_matrix_profile(X, T, L, mask)	Compute a euclidean euclidean matrix profile using STOMP [Rbaec2cda0e64-1].
stomp_normalized_squared_matrix_profile(X, ...)	Compute a squared euclidean matrix profile using STOMP [Rbd51474c7e20-1].
stomp_squared_matrix_profile(X, T, L, mask)	Compute a squared euclidean matrix profile using STOMP [R4dbd18cdbad6-1].