A component of a data clusterer is used to determine a conditional probability density of an object (data point) lying in a cluster. The object has a discrete ordinal attribute value within a finite range of attribute values. The conditional probability density for the discrete ordinal attribute is a function of an integral of a conditional probability function across a sub-range of the discrete ordinal attribute range of values, the sub-range comprising an upper bound and a lower bound bounding the discrete ordinal attribute value.