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ACluE: Cluster Analysis
Haven't got a clue where your clusters are? ACluE (Agglomerative Cluster Engine) is a cluster analysis program designed to search through flow cytometry data files seeking clusters of cells in mutual proximity within the multidimensional data space. The program can be switched to function on the basis of either of 2 agglomerative methods. The first model relies on the ordered density approach of Goad [1]. The second is the mutual near neighbour approach of Gowda and Krishna [2]. Best results are usually obtained using the ordered density model but with the inclusion of mutual near neighbour values as the Goad distance metric.
Having assigned each cell a cluster number, the program rewrites the flow cytometry data file with cluster number as an additional parameter. The cluster parameter can be used for colour coding (see below) or gating.
A copy of ACluE is distributed free to Weasel license holders.
Data on murine thymic precursors (a cluster of which is coloured green at display centre). Clustering was determined on forward scatter, side scatter and intensities of Thy-1, HSA, Class II and autofluorescence. Dots are coloured according to cluster number and sized according to forward scatter. Data provided by Dr. Li Wu.
[1] C A Goad: Los Alamos Scientific Laboratory Biological & Medical Research Group Annual report LA-7120-MS 1978
[2] K C Gowda and G Krishna: Pattern Recognition 10 p105-112 1978