Abstract: A method of classifying particles indicated on a two-dimensional frequency distribution map into particle clusters, includes the steps of: dividing the particles into a first cluster and a second cluster by a line containing a mode coordinate of the particles, presuming a third cluster so that the first and third clusters are symmetrical with respect to the mode coordinate, calculating variance and covariance of a cluster including the first and third clusters to obtain an ellipse region surrounding the first and third clusters based on the calculated variance and covariance, and determining the particles in the obtained ellipse region as a particle cluster.

Abstract: A method of classifying particles indicated on a two-dimensional frequency distribution map into particle clusters, includes the steps of: dividing the particles into a first cluster and a second cluster by a line containing a mode coordinate of the particles, presuming a third cluster so that the first and third clusters are symmetrical with respect to the mode coordinate, calculating variance and covariance of a cluster including the first and third clusters to obtain an ellipse region surrounding the first and third clusters based on the calculated variance and covariance, and determining the particles in the obtained ellipse region as a particle cluster.

Abstract: A particle analyzer includes a detecting section for detecting respective characteristic parameters of a plurality of particles, a distribution map preparing section for preparing at least two kinds of two-dimensional frequency distribution maps of the particles by using the detected characteristic parameters, a classifying section for classifying the particles into particle clusters on the two kinds of distribution maps, a calculating section for calculating and comparing the respective numbers of particles in the particle clusters containing particles of common kind to the two kinds of distribution maps, and a judging section for judging a classification error on the distribution maps based on a comparison result.

Abstract: To facilitate operations wherein samples from different animal types are assayed in succession, disclosed is the provision of an animal type table wherein correspondences between animal type and identifying information designating the animal type are assigned and stored; an animal type input means for inputting, utilizing the identifying information, animal type of a vital sample to be analyzed; and analysis configuration means for altering analysis condition settings in accordance with inputted animal type. The animal type table settings are best user-configurable to suit the user's running of the automated analyzing system.