An interactive multivariate analysis of FCM data

✍ Scribed by Dr. Yukio Kosugi; Ryuichi Sato; Shigeru Genka; Nobuyuki Shitara; Kintomo Takakura

• Publisher: John Wiley and Sons
• Year: 1988
• Tongue: English
• Weight: 350 KB
• Volume: 9
• Category: Article
• ISSN: 0196-4763
• DOI: 10.1002/cyto.990090419

✦ Synopsis

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.