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Silhouette Score for ordered clusters

My clusters are arranged according to a time series, and I want to compute the silhouette score for the clustering performed, considering that they follow an order. Therefore the nearest cluster to ...
sp29's user avatar
  • 101
1 vote
0 answers
457 views

Best practice/Ideas for clustering Event Sequence Embeddings?

My dataset consist of around 40 000 samples of event sequences. Sample of data [[Event 1, Event 2, Event 4, Event 5], [Event 1, Event 3, Event 4], [...]] I ...
kspr's user avatar
  • 171
1 vote
0 answers
306 views

How to achieve good clustering results in subsequence time series clustering with DBSCAN?

I want to find patterns in a time series and use clustering for that. Before I cluster, I create subsequences from the time series using a sliding window approach. (STS-clustering) So far I have tried ...
Philipp's user avatar
  • 121
-1 votes
2 answers
139 views

Similarity measure/metric for long time series

I'm looking for a similarity measure/metric to cluster long time-series datasets. I feel that Euclidean distance won't do any good for my application, for it is not robust enough to detect patterns ...
DGT's user avatar
  • 31
4 votes
1 answer
431 views

Unsupervised clustering of sequence of events to subsequences

I have a big dataset of M sequences of [1 - N] events, where each event has multiple properties (start date, end date, location, ...
Dimgold's user avatar
  • 318
0 votes
1 answer
192 views

clustering location based on sorted time

I clustered my dataset based on location using DBSCAN(haversine). Everything is OK until this. However, I'd like to use the time series while I'm clustering my dataset. For example. You were at home ...
emily.mi's user avatar
3 votes
1 answer
399 views

Is clustering subsequences of time-series still meaningless with unsupervised learning?

In the paper "Clustering of Time Series Subsequences Is Meaningless" Keoh et al. claim that breaking a time-series into chunks (sometimes called lags) of fixed-size using the rolling window method ...
Seanny123's user avatar
  • 667
2 votes
0 answers
94 views

What are the simple methods to do an unsupervised cluster to stock return time series?

I am a student in finance and I am working on my thesis project. I am interested in doing a clustering to stock time series. I first read the paper 'Time-series clustering – A decade review' from ...
user598604's user avatar
1 vote
0 answers
708 views

Joint probability distribution function between different time-series clusters

I have 24-hour time-series data-sets for Solar Power and Power Consumption respectively for an entire year i.e 365x24 data set. Intuitively, the data set captures the variation of each of the ...
wannabe_nerd's user avatar
3 votes
1 answer
353 views

Principles of Time Series Clustering

I would like to understand complexity of time series clustering. Clustering is similarity based, so as a basic step we evaluate distance between to points in a multidimensional space. In time series, ...
mel's user avatar
  • 421
2 votes
0 answers
85 views

Univariate clustering for longitudinal cohort

We have screening information on thousands of patients followed for several years. We also have their cancer outcomes, whether or not such cancers were identified by screening or were otherwise ...
AdamO's user avatar
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