title: An interactive multivariate analysis of FCM data.
abstract: 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.
authors.affiliation: Tokyo Institute of Technology, Japan.
authors.forename: Y
authors.initials: Y
authors.lastname: Kosugi
authors.forename: R
authors.initials: R
authors.lastname: Sato
authors.forename: S
authors.initials: S
authors.lastname: Genka
authors.forename: N
authors.initials: N
authors.lastname: Shitara
authors.forename: K
authors.initials: K
authors.lastname: Takakura
mesh_terms: D002469:Cell Separation; D003199:Computer Systems; D003627:Data Interpretation, Statistical; D005434:Flow Cytometry / Q000379:methods*; D006801:Humans; D013601:T-Lymphocytes / Q000166:cytology