<s>
Targeted	B-Application
projection	I-Application
pursuit	I-Application
is	O
a	O
type	O
of	O
statistical	O
technique	O
used	O
for	O
exploratory	B-General_Concept
data	I-General_Concept
analysis	I-General_Concept
,	O
information	B-Application
visualization	I-Application
,	O
and	O
feature	B-General_Concept
selection	I-General_Concept
.	O
</s>
<s>
Conventional	O
,	O
or	O
'	O
blind	O
 '	O
,	O
projection	B-General_Concept
pursuit	I-General_Concept
,	O
finds	O
the	O
most	O
"	O
interesting	O
"	O
possible	O
projections	O
in	O
multidimensional	O
data	O
,	O
using	O
a	O
search	B-Application
algorithm	I-Application
that	O
optimizes	O
some	O
fixed	O
criterion	O
of	O
"	O
interestingness	O
"	O
–	O
such	O
as	O
deviation	O
from	O
a	O
normal	O
distribution	O
.	O
</s>
<s>
In	O
contrast	O
,	O
targeted	B-Application
projection	I-Application
pursuit	I-Application
allows	O
the	O
user	O
to	O
explore	O
the	O
space	O
of	O
projections	O
by	O
manipulating	O
data	O
points	O
directly	O
in	O
an	O
interactive	O
scatter	B-Application
plot	I-Application
.	O
</s>
<s>
Targeted	B-Application
projection	I-Application
pursuit	I-Application
has	O
found	O
applications	O
in	O
DNA	O
microarray	O
data	O
analysis	O
,	O
protein	O
sequence	O
analysis	O
,	O
graph	O
layout	O
and	O
digital	B-General_Concept
signal	I-General_Concept
processing	I-General_Concept
.	O
</s>
<s>
It	O
is	O
available	O
as	O
a	O
package	O
for	O
the	O
WEKA	B-Language
machine	O
learning	O
toolkit	O
.	O
</s>
