hpplinux / vector_similarity

Python, Java implementation of TS-SS called from "A Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering"

Vector_Similarity

• 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...

Cosine drawbacks

Euclidean drawbacks

Triangle's Area Similarity (TS)

Sector's Area Similarity (SS)

TS-SS

Results

Conclusion

• 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

Reference

[1] A Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering [link1] [link2] [View Article]