Current Slide
Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.
Proximity Measure for Binary Attributes
- A contingency table for binary data
- Distance measure for symmetric binary variables:
- Distance measure for asymmetric binary variables:
\[ d(i,j)=\frac{r+s}{q+r+s} \]
- Jaccard coefficient (similarity measure for asymmetric binary variables):
\[ sim_{Jaccard}(i,j)=\frac{q}{q+r+s} \]
- Note: Jaccard coefficient is the same as “coherence”:
\[ coherence(i,j)=\frac{sup(i,j)}{sup(i)+sup(j)-sup(i,j)}=\frac{q}{(q+r)(q+s)-q} \]
Speaker notes:
Content Tools
Tools
Sources (0)
Tags (0)
Comments (0)
History
Usage
Questions (0)
Playlists (0)
Quality
Sources
There are currently no sources for this slide.