All Questions
10 questions
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51
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Identifying states (or clusters) in multivariate mixed-type time series
I have multivariate time series with mixed data types, which includes continuous variables, binary variables, and variables with bimodal distributions. I need to identify distinct states or epochs in ...
- 1
0
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0
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279
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clustering approach to identify temporal "states" within time-series in R
I am working on a problem where I have a multiple time series, each with a size of a 100 steps, each being described by a 8 variables variables. I want to identify "states" within each time ...
- 221
1
vote
0
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122
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Cluster analysis of time series data with a few points in time
I have asked the question here before but have not been able to resolve it.
I have data from 150 participants who were asked about their emotional state at 3 points in time. There are 28 different ...
- 11
1
vote
0
answers
28
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Standarizing over variates on multivariate time series
I want to run a clustering algorithm (means with multidimensional euclidean distance) on multivariate time series. Each variate of the time series has different units so it needs to be normalized.
I ...
- 33
0
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489
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finding the most correlated features in a multivariate time series
Assume I have a multivariate time series with 4 features where feature 1 is the most important one for me but at the same time I am suspecting maybe there is at least one more feature (another column ...
- 281
0
votes
1
answer
1k
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Multivariate time series clustering in R
At the moment I have two matrices in R which both hold a number of products and their time series based on 2 variables(Sales and Inventory)
There are 4000 products per set and all time series have t-...
- 1
11
votes
2
answers
5k
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Multivariate time series clustering
I am collecting a group of multivariate time sequences. For example, there are 2000 time series. Each time series is of 12 dimensions.
Are there any systematic models/algorithms that can cluster ...
- 5,272
1
vote
0
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284
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Reducing high dimensionality as well as feature selection on multivariate time series
Lately I've been reading a lot about time series clustering as I want to search for similar patterns in my own data set. Even though I feel like I understand the basic concepts of this task I still ...
- 35
11
votes
4
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7k
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Differences between clustering and segmentation
I have read about piecewise aggregate approximation (PAA) mining time series data, sliding window, top down and bottom up approaches for time series segmentation but these are applicable to single ...
- 1,425
19
votes
2
answers
1k
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Clustering & Time Series
I have a multivariate dataset that changes over time. I have extracted (and normalised) some features and used k-means to generate clusters over the entire span of the dataset.
Now I want to see ...
- 426