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Results tagged with outliers
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user 18215
An outlier is an observation that appears to be unusual or not well described relative to a simple characterization of a dataset. A discomfiting possibility is that these data come from a different population than the one intended to be studied.
6
votes
How to identify spikes in a noisy time series?
This does not sound like clustering to me. (In particular, clustering usually works with multiple multi-dimensional instances; and commonly has no awareness of time, but you have a single 1-dimensiona …
- 3,398
2
votes
Unsupervised outlier detection in 2D space
These are your outliers.
You can tell there are some subclusters in both cities. For example one corresponding to the Prisma Joensuu shopping mall. …
- 3,398
6
votes
1
answer
1k
views
Robust parameter estimation for Exponentially modified Gaussian distribution
However, the parameter estimation (which involves Skewness) is not very robust when there are outliers in the data set. …
- 3,398
17
votes
3
answers
7k
views
Estimating parameters of a normal distribution: median instead of mean?
However, if there are some outliers, the median and the median deviation from the median should be much more robust, right? … Is there any reason to not use the median if you assume there are some outliers in the data set? Do you know some reference for this approach? …
- 3,398