When a fluid containing a mixture of different kinds of particles, such as blood, is passed through a particle detector such as a flow cytometer to measure various characteristics of each particle and the measurements of two characteristics of each particle and the measurements of two characteristics are plotted in two-dimensional rectangular co-ordinates, for example, the resultant dots tend to separate into groups (clusters) corresponding to the kinds of the particles. This invention relates to a method and a device for presuming information regarding the position of center of gravity, variance number of dots and the like of each cluster by learning and, based upon this information, presuming a specific cluster or category to which each measured particle should belong from the corresponding measurements of the particles, and it executes such information processing by a fuzzy clustering technique using a neural network.
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