All Questions
9 questions
1
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1
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296
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Clusters as input for classification
I'm currently performing clustering as a batch job and then in real time I'm assigning new points to cluster whose centroid is closest to new arrived point.
The other approach that I see is to ...
CommunityBot
- 1
1
vote
2
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928
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How to classify time series trends into 2 groups: “contain seasonality” and “doesn't contain seasonality”
I'm optimizing prediction model for time series data trends. Each trend may have seasonality effect or may not. I want to classify each trend into one of the following groups: "seasonality" or "no ...
- 236
2
votes
1
answer
642
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How to split a time series into "day" and "night" intervals?
I have measured a lot of daily activity of people, with data for one person looking like in this image:
I would now like to automatically estimate the time when this person wakes up, and more ...
- 606
3
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2
answers
2k
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Clustering of time series
I have a set of almost 1600 time series on 2 years which I want to group into clusters. Do you think this is possible using k-means? Which method do you advice me to use? Is this possible at all using ...
- 31
2
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2
answers
809
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Features to encode the time-evolving nature of a time series
I am clustering time series data. Each entry is an univariate time series. Aim is to mine relevant features to classify the series. I looked up here, and other general references for this purpose. ...
CommunityBot
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1
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0
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71
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time series similarities: which techniques for each transformation?
in this paper ( http://www.cs.ucr.edu/~eamonn/kdd98.pdf) the author references a set of methods on how to deal with the time series similarities, specifically:
now, I am interested in each problem ...
0
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0
answers
274
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Time series classification
I need to find a specific pattern in a continual time series and then to classify it into one of two groups good, or bad. So, the first step would be some kind of search in the time series, but that ...
- 2,877
4
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1
answer
1k
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Time Series Data Mining Library?
Can anyone recommend a library for time series data mining tasks other than predictive modeling and statistical analysis? There seem to be a number for these purposes (e.g., Gretl), but nothing for ...
CommunityBot
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2
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1
answer
2k
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Clustering short time series
I would like to classify a relatively large set (over 9000) of short times series. The length of each sequence varies, but I would say about 80 % has between 2 and 9 observations. While I could use a ...
CommunityBot
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