Text Clustering with Mixture of von Mises-Fisher Distributions - Text Mining: Classification, Clustering, and Applications - page 135

Second-closest
stem “invent”

person

Closest
stem
“invent”

is-a

− 6 − 5 − 4 − 3 − 2 − 1 0 +1 +2

Candidate position to score

Selectors

FIGURE 10.13 : Setting up the proximity scoring problem.

1.00E-15 1.00E-06 1.00E-03 1.00E-01

1.E+14

1.E+12

1.E+10

1.E+08

1.E+06

1.E+04

1.E+02

1.E+00

0.0E+0 5.0E+8 1.0E+9 1.5E+9 2.0E+9

Estimated Index Size

1.E+06

1.E+05

1.E+04

1.E+03

1.E+02

1.E+01

1.E+00

0.0E+0 5.0E+8 1.0E+9 1.5E+9 2.0E+9

Estimated Index Size

FIGURE 10.28 : Estimated space-time tradeoffs produced by Atype-
SubsetChooser . The y-axis uses a log scale. Note that the curve for
=10 − 3 (suggested by Figure 10.19 ) has the lowest average bloat.