Update docs and paper

Co-authored-by: gvieralopez <[email protected]>
yupidevs · Jun 8, 2023 · d9fe0bd · d9fe0bd
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diff --git a/docs/source/available_datasets/available_datasets.rst b/docs/source/available_datasets/available_datasets.rst
@@ -40,8 +40,8 @@ dataset <https://github.com/yupidevs/trajectory-datasets>`_ repository.
      - | **Huracane intensity:**
        | Weaker or unknown • Tropical Depression
        | Tropical Storm • Severe Tropical Storm
-       | Typhoon • Severe Typhoon • Super Typhoon
-       | Extratropical Cyclone
+       | Typhoon • Severe Typhoon 
+       | Super Typhoon • Extratropical Cyclone
    * - uci_gotrack
      - Cars and buses GPS trayectories
      - | **Transportation mode:**
@@ -66,10 +66,4 @@ dataset <https://github.com/yupidevs/trajectory-datasets>`_ repository.
        | circle • vertical straight-line 
        | horizontal zigzag • vertical zigzag 
        | horizontal wavy • vertical wavy 
-       | face-up curve • face-down curve • tremble
-   * - stochastic_models
-     - | Trajectories generated
-       | using statistical models
-     - | **Model used:** 
-       | Random Walk • Langevin Ecquation 
-       | Diffusing Diffusivity 
+       | face-up curve • face-down curve • tremble
diff --git a/docs/source/contributing/adding_datasets.rst b/docs/source/contributing/adding_datasets.rst
@@ -6,7 +6,7 @@ Adding datasets to pactus
 1. Add the dataset to the trajectory-datasets repository
 --------------------------------------------------------
 
-For this follow the instructions on `Adding datasets to this
+Follow the instructions on `Adding datasets to this
 repository <https://github.com/yupidevs/trajectory-datasets#adding-datasets-to-this-repository>`_.
 
 2. Use the dataset

diff --git a/paper/paper.md b/paper/paper.md
@@ -111,8 +111,8 @@ individual access through the library.
 
 In order to mitigate the different-length trajectories on some datasets, `pactus`
 is able to extract statistical features from any trajectory and convert an arbitrary
-length trajectory into a fixed size feature vector using the procedures described in
-[@xiao2017identifying; @zheng2008understanding].
+length trajectory into a fixed size vector whose components are engineered features 
+typically used in the literature [@xiao2017identifying; @zheng2008understanding].
 
 Finally, several classification algorithms can be evaluated on the vectorized
 versions of the trajectories (e.g., Random Forest, SVM, KNN) or, alternatively,