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Bugfix in README #60

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Bugfix in README #60

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2 changes: 1 addition & 1 deletion docs/README.md
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Expand Up @@ -23,7 +23,7 @@ The implementation is based on the [Gaussian mixture models](https://scikit-lear
- **use_dbscan**: If using dbscan to cut a long sequence of picks into segments. Using DBSCAN can significantly speed up associaiton using small windows.
- **dbscan_eps** (default = 10.0s): The maximum time between two picks for one to be considered as a neighbor of the other. See details in [DBSCAN](https://scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html)
- **dbscan_min_samples** (default = 3): The number of samples in a neighborhood for a point to be considered as a core point. See details in [DBSCAN](https://scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html)
- **oversampling_factor** (default = 10): The initial number of clusters is determined by (Number of picks)/(Number of stations)/(Inital points) * (oversampling factor).
- **oversample_factor** (default = 10): The initial number of clusters is determined by (Number of picks)/(Number of stations)/(Inital points) * (oversampling factor).
- **initial_points** (default=[1,1,1] for (x, y, z) directions): Initial earthquake locations (cluster centers). For a large area over 10 degrees, more initial points are helpful, such as [2,2,1].
- **covariance_prior** (default = (5, 5)): covariance prior of time and amplitude residuals. Because current code only uses an uniform velocity model, a large covariance prior can be used to avoid splitting one event into multiple events.
- Filtering low quality association
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