Over the past decade, diagnostic classification models (DCMs) have become an active area of psychometric research …

. This exponent is used for probability density estimation in high-dimensional spaces and for classification. A close … (classification accuracy) than other kinds of classifiers for some tasks. Copyright Springer Science+Business Media New York 2013 …

We present a hierarchical classification based on n-ary relations of the entities. Starting from the finest partition … between entities. The classification that we get is thus a refinement of this finest partition. It can be computed in O(n + m … entity can have (usually, m ≪ n). So we can treat sets with millions of entities. Copyright Classification Society of North …

clustering and classification analyses that is both intuitive and computationally efficient. We focus largely on applications in … mixture model-based learning, but the technique could be adapted for use with various other clustering/classification methods …