mass-deprecated {tsmp} | R Documentation |
Calculates the distance profile using MASS_V2 algorithm
Description
Mueen's Algorithm for Similarity Search is The Fastest Similarity Search Algorithm for Time Series Subsequences under Euclidean Distance and Correlation Coefficient.
Usage
mass(data_fft, query_window, data_size, window_size, data_mean, data_sd,
query_mean, query_sd)
Arguments
data_fft |
precomputed data product. |
query_window |
a |
data_size |
an |
window_size |
an |
data_mean |
precomputed data moving average. |
data_sd |
precomputed data moving standard deviation. |
query_mean |
precomputed query average. |
query_sd |
precomputed query standard deviation. |
Value
Returns the distance_profile
for the given query and the last_product
for STOMP
algorithm.
References
Abdullah Mueen, Yan Zhu, Michael Yeh, Kaveh Kamgar, Krishnamurthy Viswanathan, Chetan Kumar Gupta and Eamonn Keogh (2015), The Fastest Similarity Search Algorithm for Time Series Subsequences under Euclidean Distance
Website: https://www.cs.unm.edu/~mueen/FastestSimilaritySearch.html
See Also
mass_pre()
to precomputation of input values.