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Update README.md
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ddangelov committed Mar 23, 2020
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Expand Up @@ -47,8 +47,8 @@ attracted the documents to the dense area are the topic words.
![HDBSCAN Document Clusters](images/hdbscan_docs.png)

**4. For each dense area calculate centroid of document vectors in original dimension. (centroid = topic vector)**
>The red points are outliers and do not get used for calculating the topic vector. The purple points are the documents vectors identified as being part of a dense area are used to calculate the topic vector.
**4. For each dense area calculate centroid of document vectors in original dimension, this is the topic vector.**
>The red points are outlier documents and do not get used for calculating the topic vector. The purple points are the document vectors that belong to a dense area, from which the topic vector is calculated.
![Topic Vector](images/topic_vector.svg)

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