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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
1 vote
0 answers
17 views

truncated Functional data analysis + identify subgroups?

I have intensive longitudinal data about heartbeat rates, movement activity measured by actiwatch, respiration rates etc... collected from about 100 patients at a terminal care. For each patient, data ...
ReiMon's user avatar
  • 21
0 votes
1 answer
694 views

In what way does clustering help in classification?

I understand that with a K-means or DTW algorithm one can cluster time series using a distance criterion, i also understand that with a K-NN algorithm for example one can do pattern recognition and ...
Abbas's user avatar
  • 3
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
  • 64.8k
7 votes
6 answers
4k views

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 ...
Mandy's user avatar
  • 71