Database Reference
In-Depth Information
11 0 hamlet
12 0 juliuscaesar
19 0 loverscomplaint
20 0 loveslabourslost
21 0 macbeth
22 0 measureforemeasure
23 0 merchantofvenice
24 0 merrywivesofwindsor
25 0 midsummersnightsdream
26 0 muchadoaboutnothing
27 0 othello
28 0 periclesprinceoftyre
29 0 romeoandjuliet
30 0 tamingoftheshrew
31 0 tempest
32 0 timonofathens
33 0 titusandronicus
34 0 troilusandcressida
35 0 twelfthnight
36 0 twogentlemenofverona
37 0 winterstale
13 1 kinghenryv
14 1 kinghenryviii
15 1 kingjohn
16 1 kinglear
17 1 kingrichardii
18 1 kingrichardiii
0 1 onekinghenryiv
1 1 onekinghenryvi
4 1 threekinghenryvi
2 1 twokinghenryiv
3 1 twokinghenryvi
[38 rows x 2 columns]
This is a cool result—given no information other than relative word
frequencies of various plays, the clustering algorithm has divided up
Shakespeare's output into two buckets—one that contains all the histories,
