All Questions
17 questions
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24
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Curse of dimensionality in Time series with K-means
I have been looking at the following notebook: time series clustering
where the writer says that the dataset is affected by the "Curse of Dimensionality", so applying TimeSeriesKMeans ...
- 1
2
votes
2
answers
1k
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Time series clustering on large data
I am trying to do K-means clustering on my data which has time series length of 3700 and for (latitude,longitude) points of around 6000 in length. However, timeseries clustering using tslearn package ...
1
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1
answer
604
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Comparing clustering methods based on internal Cluster Validity Indices
I have used the R package dtwclust to generate clusters for more than a thousand time-series objects.Since I did not have any prior information on the number or validity of clusters, I used a suite of ...
- 41
0
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1
answer
108
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Time Series clustering: clustering a dictionary of time series
I'm working on classifying times series to find clear pattern of use. My data is collected from clients of a telecom company, and we want to detect pattern of the amount of data consumed by clients ...
1
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1
answer
346
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Clustering Data with Time and ~10 million records
I have a dataset with features like product categories, their dimensions, price, units sold on a given day.
I want to create clusters out of this dataset (~12-15 million records) and I am using data ...
2
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1
answer
1k
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K-Means Clustering of time series in R
I want to create a cluster of K-Means of time series with R but I don't know where to start.
Could you recommend some articles or tutorial?
- 23
2
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1
answer
793
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Applying Dynamic Time Warping (DTW) instead of Euclidean Distance for Clustering Synchronized Time series data
I am trying to cluster members based on hourly login data. As this is mostly synchronized, I first applied Euclidean and it failed to cluster them into groups with sensible patterns. I tried DTW ...
- 21
2
votes
1
answer
176
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K-Means on Time Series but each timestep is considered an individual point
As stated in the question, I have a doubt about the possibility that K-Means would work if we apply it on one time series where each timestep is considered an individual data point. Please allow me to ...
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1
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2
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1k
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How to emphasize a sudden drop in time series for the purpose of clustering?
I would like to cluster uni-variate daily time series so that an emphasis is put on sudden drops in time series. Series that contain such uncommon drops should be in one cluster (drops should ...
- 143
0
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1
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1k
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Time Series clustering - is K Mean accurate?
My data set is composed by measurement of the same index for 14 years (columns) for 105 countries (rows). I want to cluster countries based on their index trend over time.
I am trying Hierarchical ...
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1
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0
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221
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How to search for irregular signals: Fourier, DWT or k-means?
See my notebook here
I want to search for irregular time signals in a data set of ~3 500 000 time signals. I can't give a clear definition of irregular signal, but it must fulfil the criteria of: not ...
- 121
1
vote
1
answer
1k
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Split an 1D array into N clusters but retain order
I am trying to split an array into N=6 parts which share some similarity but it is important that they retain the order they are in.
An example is:
...
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-1
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1
answer
25
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How are the data moving between clusters?
I am fairly new to cluster analysis and I have questions during the analysis.
I have used kmeans for my analysis.
I would like to explore how the data move through the clusters that I have ...
2
votes
3
answers
4k
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Why might k-means be inappropriate for contextual time series data?
Why is k-means not considered a good option to use for time series data? I have read answers saying it is not a good option, but none that describe why.
Let's say we have a time series data of a shop ...
- 259
0
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0
answers
17
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Bisecting K-mediods [duplicate]
Is there an algorithm like Bisecting K-mediods and what would its advantages/weaknesses be?
It seems to me that it could be used well in combination of Dynamic Time Warping for clustering time series....
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4
votes
1
answer
1k
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Which clustering technique to use for a temporal dataset?
I have seen a similar question but thought I'd ask my own to hopefully garner some usefull feedback.
Basically, I have a large temporal dataset, consisting of domestic smart energy meter use ...
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7
votes
6
answers
4k
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How to do time series ( longitudinal) clustering based entirely on Shape of the curves?
I have a longitudinal (panel) dataset for investment growth for 120 countries covering the time from 1960-2008. Essentially it's viewed as 120 time series.
What I am interested in is to group ...
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