Questions tagged [dtw]

dtw means Dynamic Time Warping-type algorithms, which measure the similarity between time series with varying speeds.

124 questions
0
votes
0 answers

Error with Multi-variate Time Series clustering using dtwclust - There are missing values in the series

I am working on a time series clustering using dtwclust package in R. I am using the fundamental dataset from S&P500 stocks. The Head of the data frame is as follows : '>print(head(DFCleanPF)) ticker reportperiod price ebitusd epsusd pe …
0
votes
1 answer

Which one? DTWi or DTWd?

My educational project is about "sign language recognition using kinect camera" . I want to compare the hand motion trajectories using DTW as the distance measure , and then do a NN-DTW classification . Hand trajectory is constructed from the…
At_Ta.stu
  • 31
  • 5
0
votes
0 answers

Convert MFCC values (Mel-frequency cepstral coefficients) into ascii files

I have code that extracs the MFCC values from a wav file: public class MFCCTest { public static void main(String[] args) throws Exception { int sampleRate = 41000; int bufferSize = 512; int bufferOverlap = 128; final…
Lcarrins
  • 47
  • 5
0
votes
0 answers

audio recognition: resize audio examples to the same length

I have an audio dataset featured with MFCCs and it is a 1D array numpy file. There are 45K of examples in total, so it is a numpy file with 1 column and 45K row. In each row, there is a nested object with N rows and 13 columns. Since the length of…
vvx
  • 35
  • 6
0
votes
0 answers

DTW algorithm: simple implementation - Verification

I have tried to make a simple implementation of the DTW algorithm in C,without using any substantial optimization techniques. I am trying to use this implementation for some simple sketch recognition, which is to say finding the k closest neighbors…
Desperados
  • 434
  • 5
  • 13
0
votes
0 answers

Hierarchical clustering of different length time series data using scipy and DTW

I have a set of time series data having different lengths and I am trying to cluster them using Dynamic Time Warping (DTW). For the completeness of the question, I am using this simple implementation of DTW def DTWDistance(s1, s2): DTW={} …
Unni
  • 5,348
  • 6
  • 36
  • 55
0
votes
0 answers

Dynamic Time Warping (DTW) for a large dataset with multiple features

I am new to DTW and was trying to apply the same for a dataset with ~700,000 rows and 9 features. I have two arrays (matrix) of the form, [ [0 1 0 0 0 0 0 0 0], [0 0 0 0 1 0 0 0 0], ... [0 0 0 0 0 0 1 0 0], [0 0 1 0 0 0 0 0 0], ] I…
araina
  • 13
  • 6
0
votes
1 answer

Pandas rolling time window custom functions with multiple columns

I have timeseries data in a pandas DataFrame that looks like this : ts serial_number device_tp tp 2017-09-19T15:00:00.000Z 4ktpjlv 21.7760333333333 17 2017-09-19T14:00:00.000Z 4ktpjlv …
Ghislain
  • 115
  • 1
  • 5
0
votes
1 answer

different distance depending on input order using fastdtw in python

I want to find similarities between time-series and perform Dynamic Time Warping in python using fastdtw (https://github.com/slaypni/fastdtw/tree/master/fastdtw). The computed distance is sometimes changing according to the input order, especially…
eva
  • 1
  • 1
0
votes
0 answers

vector memory exhausted using R package dtw

I am trying to use R package dtw to calculate the distance between two numeric vectors. Here is a sample of my code: testNumbers <- sample(seq(from = 1, to = 60), size = 60000, replace = TRUE) testNumbers2 <- sample(seq(from = 1, to = 60), size =…
Lisa
  • 909
  • 2
  • 13
  • 31
0
votes
1 answer

Motion data comparison

I am working on a project that involves the comparison of motion data collected from accelerometer and gyroscope sensors. Let's say that i have data for a specific type of motion (e.g throwing ball) and i have manually created segments as you can…
0
votes
2 answers

rpy2 Dynamic Time Warping (dtw) in python - windowing does not work

A now closed discussion shows how to use the R dtw package in python. This is a little clumsy, but the R dtw package is great and better than currently available python dtw implementations. Unfortunately, the windowing functions like the …
benbo
  • 1,471
  • 1
  • 16
  • 29
0
votes
1 answer

C#_Using NAudio to implement STFT

This is the first time I try to analyse audio stream on C#. Without any experience, it will be grateful that you share your solution. :) Using NAudio(an opensource for C# dealing with audio), I try to compare two audio stream with the following…
邱耀緯
  • 3
  • 2
0
votes
1 answer

Find the path that most closely resembles all other paths of a group of 3D paths

I am attempting to write an algorithm for finding a 3D path most closely resembles all other paths in a group of 3D paths. If you would look at the graph in the (at the bottom) provided link it should output trace1. (by eyeballing it) To be able to…
0
votes
1 answer

Clustering time series in R with dtwclust

I am trying my first attempt on time series clustering and need some help. I have read about tsclust and dtwclust packages for time series clustering and decided to try dtwclust. My data consist of temperature daily time series at different…
pacomet
  • 5,011
  • 12
  • 59
  • 111
1 2 3
8
9