All Questions
10 questions
1
vote
0
answers
48
views
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 ...
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 ...
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 ...
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/...
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 ...
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 ...
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 ...
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 ...
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 ...
-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:
...