This work was supported by research grants from the Ministry of Education, Science and Culture and the Ministry of Health and Welfare of Japan.
An interactive multivariate analysis of FCM data†
Article first published online: 8 MAR 2005
Copyright © 1988 Wiley-Liss, Inc.
Volume 9, Issue 4, pages 405–408, July 1988
How to Cite
Kosugi, Y., Sato, R., Genka, S., Shitara, N. and Takakura, K. (1988), An interactive multivariate analysis of FCM data. Cytometry, 9: 405–408. doi: 10.1002/cyto.990090419
- Issue published online: 16 JUN 2005
- Article first published online: 8 MAR 2005
- Manuscript Accepted: 1 FEB 1988
- Manuscript Received: 7 OCT 1987
- Flow cytometry;
- principal-components analysis;
- cluster analysis;
- hexagonal segmentation
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.