Questions tagged [dynamic-time-warping]
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17 questions
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Activity Classification through LOG file
I have a big dataset containing logs/steps that the user performed on my webpage (for example: Clicking on a "Homepage" button, typing some text in the field, etc.) These steps are labelled ...
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Synchrony vs Similarity in time series data
I would like to know what is the difference between synchrony and similarity w.r.t time series data. Upon research I get the below explanation.
"Synchrony and similarity are two different ...
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Identification of inexactly-recurring material in time series stream
I am working on a personal project involving the analysis of a stream of audio data and the identification of (non-verbatim) repeated subsequences.
My research on time series has so far lead me to ...
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Determining clusters of time series
I have been given time series of N stock prices and time series of K sectoral indices. (Sectoral index is index made from all stocks belonging to that sector.) I have not been given names of any of ...
- 105
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Patterns extraction in time serie with DTW
I have a long time serie, let's say 1000 items. I want to find patterns in it of different lengths from 10 to 100 elements.
To do this, I extract sliding windows of different lengths and calculate ...
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clustering time series with different sized time series
I have read this article on towardsdatascience and they teach how to cluster time series using the DTW distance and the TimeSeriesKMeans from the tslearn.clustering library.
I also read the official ...
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corresponding class labels of two unsupervised learning algorithms
I am working on a time series clustering problem. I made two models (hierarchical tree) with different pre-processing techniques using this class in package dtaidistance:
...
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Comparing time series classification with Hidden Markov Model vs Dynamic Time Warping - which model should I use to generate data?
Copied from Cross Validated
I am writing a thesis which compares two approaches to time series classification: Hidden Markov Models and Dynamic Time Warping combined with 1-NN. I'll apply both ...
- 103
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Perform DTW simultaneously on multiple trajectories
Good day,
I have ~50 sample trajectories (timeseries) showing reactor temperature over time for a given process.
In addition, I have a reference signal of the ideal trajectory for this process.
I ...
- 11
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294
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Dynamic Time Warping (DTW) for time series with different step sizes
Is it possible to use Dynamic Time Warping (DTW) algorithm as a method to find the similarity between two time-series data that have different step/measurement sizes? For example, one is measured ...
- 127
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In DTW, is the distance the sum of the shortest path's elements or the fathest element?
The title says it. In dynamic time warping, I keep hearing that the distance between two distances is the sum of the shortest path's elements. But I also see the distance as the element in the ...
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Is it possible to reduce the time of computing DTW with dtw-python package by disabling computation of?
I am trying to classify some time series using dtw-python package which is a python version of R package implementing Dynamic Time Warping described in this nice ...
- 103
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254
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how to perform clustering using dtw and some clustering method like kmeans
I have a timeseries(temperature of a sensor)and I want to apply an unsupervised clustering that. I've already done that using sklearn library and Kmeans. but the problem is that I don't know how to ...
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60
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Dynamic Time Warping with fast lookup?
My understanding of Dynamic Time Warping is that the algorithm always requires calculation with each comparison/training series and that there is no way to extract the "essence" from a given ...
- 181
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180
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How to do phoneme segmentation using dynamic time warping?
Background Information:
Dynamic Time Warping (DTW):
In time series analysis, dynamic time warping (DTW) is one of the
algorithms for measuring similarity between two temporal sequences,
which may ...
- 21
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2k
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Calculate the similarity between pairs of time series data
I have 5 pieces of time series data. It is the weekly sales of 5 different stores (A,B,C,D,E). There are no missing values. A quick visual inspection shows that these 5 pieces of time series data have ...
- 113
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Signal correlation - matching specific points
Question: What are some recommended techniques for matching specific patterns in data sets?
Background
I have several thousand sites for which I have collected time series data. In the example image ...
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