An interactive multivariate analysis of FCM data.
The procedure and results of the interactive multivariate analysis of FCM data are described. Using principal-components analysis, cluster analysis, and interactive maneuvers, this procedure facilitates an effective data compression from a four-dimensional space into two-dimensional space, then allows cluster separation. The procedure is especially effective for separating clusters, which are degenerated in the usual scattergrams. Programs were mostly written in C language on MS-DOS and were tested on four-dimensional analysis of the blood cells, which resulted in a successful separation of the degenerated clusters.
Kosugi
Y
Y
Tokyo Institute of Technology, Japan.
Sato
R
R
Genka
S
S
Shitara
N
N
Takakura
K
K
D002469:Cell Separation; D003199:Computer Systems; D003627:Data Interpretation, Statistical; D005434:Flow Cytometry / Q000379:methods*; D006801:Humans; D013601:T-Lymphocytes / Q000166:cytology