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1 vote
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Clustering for a meaningful fixed effects model

I have panel data for 5 time periods and about 10,000 geographic units. My dependent variable Share is the share of workers in a specific category, and my descriptors represent various factors that ...
Mikhail's user avatar
  • 97
2 votes
1 answer
94 views

Inconsistent cluster indices using hierarchical clustering for time series data

I am currently trying to spatially cluster data that is ordered on a grid. Each point has x and y coordinates as well as a measurement value. These features come from a time series where I analyze ...
Krautsultan's user avatar
1 vote
1 answer
604 views

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 ...
Mansi's user avatar
  • 41
5 votes
1 answer
102 views

Definition and Taxonomy of Seasonal Time Series

I want to categorize a large number of time series into non-seasonal and seasonal divide the seasonal ones into a small number of subgroups by type of seasonality Are there any formal definitions/...
dimitriy's user avatar
  • 38.3k
1 vote
0 answers
15 views

Applying clustering to predicted values

I am using clustering techniques such as hierarchical clustering trees to create an index fund modeled on the S&P500 with the correlation between the returns of individual stocks being used as the ...
vjgu's user avatar
  • 23
0 votes
0 answers
40 views

Any methods for clustering short time series data

I have around 200 different sets of time series data with a semi-annual periodicity. The length of each series varies from 1 to 6 years. I essentially want to build unsupervised clusters by grouping ...
Sid's user avatar
  • 21
3 votes
2 answers
4k views

R: how to find cluster centroids with tsclust?

I have a time-series dataset and I am required to find similar clusters in the data. Based on my current knowledge and the requirements of my application, I used ...
BajajG's user avatar
  • 141
2 votes
0 answers
451 views

Spectral clustering or hierarchical clustering for this senario?

I have a data set of about 40,000 time series. The length of each time series is 64. I consider these 64 as features for the data. I want to cluster data into groups which have similar time series (I ...
starrr's user avatar
  • 201
1 vote
1 answer
98 views

Clustering of body kinematics time series

I have 100 participants performing the same activity (picking up a box from the ground) in their preferable way, and for every participant I have recorded time series of all trajectories and angles of ...
user105805's user avatar
-1 votes
1 answer
3k views

dtw(distance.only = TRUE, ...) : No warping path exists that is allowed by costraints [closed]

Using the UCR time-series database and modification in this code: ...
Mona Jalal's user avatar