- Python, Java implementation of TS-SS called from "A Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering"
- Also, I have summarized "A Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering"
- I recommend TS-SS instead of Cosine distance or Euclidean distance.
The reasons are...
Triangle's Area Similarity (TS)
Sector's Area Similarity (SS)
In biggest dataset, TS-SS outperforms Cosine with a significant difference, while in other datasets TS-SS outperforms Cosine slightly
Therefore, the significant better result of TS-SS in biggest dataset justifies the robustness and reliability of the model for big data and real world data where the variety of documents/texts are high