1 / 8

Similarity

Similarity. 1. 0. Min Difference. Max Difference. Similarity. 1. 0. Min Difference. Max Difference. Similarity. 1. 0. Min Difference. Max Difference. Similarity. Similarity. 1. 1. 0. 0. Cutoff. Min Difference. Max Difference. Similarity. Similarity. a=1. 1. a=1.5. a=1.

michi
Télécharger la présentation

Similarity

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Similarity 1 0 Min Difference MaxDifference Similarity 1 0 Min Difference MaxDifference Similarity 1 0 Min Difference MaxDifference Similarity Similarity 1 1 0 0 Cutoff Min Difference MaxDifference

  2. Similarity Similarity a=1 1 a=1.5 a=1 1 a=0.5 a=0.2 a=2 0 0 Difference Difference

  3. sim(qv,cv)=1- d(qv,cv) range(v) { =1 if d(qv,cv)<=S sim(qv,cv)= =0 otherwise d(qv,cv)=|qv-cv| range(v)=Max_v-Min_v { if d(qv,cv)<=Min Difference = 1 if d(qv,cv)>Max Difference sim(qv,cv)= = 0 d(qv,cv)-Min Difference =1- |Max Difference-Min Difference| { if d(qv,cv)< Min Difference or d(qv,cv)> Max Difference = 0 sim(qv,cv)= d(qv,cv)-Min Difference =1- |Max Difference-Min Difference|

  4. n(qv,cv)= n(qv,cv)= n(qv,cv) a d(qv,cv) d(qv,cv) range(v) range(v) d(qv,cv)=|qv-cv| ) (- sim(qv,cv)=exp range(v)=Max_v-Min_v Where qv:query value for feature v, cv:case value for feature v. Max_v:Maximum value feature v takesMin_v:Minimum value feature v takes where (-(a ) sim(qv,cv)=exp n(qv,cv))3 where

  5. sim(qv,cv)=1- d(qv,cv) range(v) d(qv,cv)=|numeric(qv)-numeric(cv)| range(v)=Max_numeric(v)-Min_numeric(v) Where qv:query symbolic value for feature v, cv:case symbolic value for feature v. numeric(qv):numeric equivalent of qvnumeric(cv):numeric equivalent of cv Max_v:Maximum numeric value of v Min_v:Minimum numeric value of v

  6. sim(qv,cv)= S(qv,cv) Where S(qv,cv) is similarity defined explicitly between qv and cv. range(v)

  7. d(qv,cv) sim(qv,cv)=1- Max_ v-middle_v where Middle_v=middle value of range of v d(qv,cv)=| qv-cv| d(qv,cv)=Max_v-d(qv,cv) if d(qv,cv)>middle_v Where qv:query symbolic value for feature v, cv:case symbolic value for feature v. numeric(qv):numeric equivalent of qvnumeric(cv):numeric equivalent of cv Max_v:Maximum numeric value of v Min_v:Minimum numeric value of v

  8. d(qv,cv) Max(v)-middle(v) sim(qv,cv)=1- where middle(v)=middle value of range of v d(qv,cv)=|numeric(qv)-numeric(cv)| d(qv,cv)=Max_numeric(v)-d(qv,cv) if d(qv,cv)>middle(v)

More Related