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fix line spacing on readme
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README.md

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@@ -231,10 +231,13 @@ You can see examples of how to use PyMove [here](https://github.com/InsightLab/P
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- 1: **Spatial Trajectories** → `pymove.core`
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- `MoveDataFrame`
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- `DiscreteMoveDataFrame`
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- 2: **Stay Point Detection** → `pymove.preprocessing.stay_point_detection`
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- `create_or_update_move_stop_by_dist_time`
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- `create_or_update_move_and_stop_by_radius`
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- 3: **Map-Matching** → `pymove-osmnx`
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- 4: **Noise Filtering** → `pymove.preprocessing.filters`
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- `by_bbox`
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- `by_datetime`
@@ -249,29 +252,42 @@ You can see examples of how to use PyMove [here](https://github.com/InsightLab/P
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- `clean_trajectories_with_few_points`
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- `clean_trajectories_short_and_few_points`
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- `clean_id_by_time_max`
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- 5: **Compression** → `pymove.preprocessing.compression`
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- `compress_segment_stop_to_point`
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- 6: **Segmentation** → `pymove.preprocessing.segmentation`
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- `bbox_split`
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- `by_dist_time_speed`
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- `by_max_dist`
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- `by_max_time`
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- `by_max_speed`
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- 7: **Distance of Trajectory** → `pymove.query.query`
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- `range_query`
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- `knn_query`
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- 8: **Query Historical Trajectories**
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- 9: **Managing Recent Trajectories**
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- 10: **Privacy Preserving**
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- 11: **Reducing Uncertainty**
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- 12: **Moving Together Patterns**
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- 13: **Clustering** → `pymove.models.pattern_mining.clustering`
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- `elbow_method`
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- `gap_statistics`
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- `dbscan_clustering`
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- 14: **Freq. Seq. Patterns**
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- 15: **Periodic Patterns**
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- 16: **Trajectory Classification**
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- 17: **Trajectory Outlier / Anomaly Detection** → `pymove.semantic.semantic`
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- `outliers`
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- `create_or_update_out_of_the_bbox`

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