Similarity-Distance
Description: This repository is mainly about various distances as similarity used in machine learning ,data mining.
There are twelve distances to descript a similarity or distance in machine learning and data mining,there are :
1) Distance between numberical data
- 1. Minkowski distance
- 2. Euclidean distance
- 3. Manhattan distance
- 4. Mahalanobis distance
2) Inner product
- 5. Cosine similarity
- 6. Pearson correlation
3) Distance between classified data
- 7. Hamming distance
- 8. Jaccard similarity
4) Distance between sequences
- 9. Levenshtein distance/Edit distance
- 10. Dynamic time warp
5) Distance in probability distribution
- 11. Chi-Square
- 12. KL-Divergence/Relative entropy