… to a value as an effect of the fitting between the kind of representation of the clusters and the
… Hausdorff distance and the second one using a dissimilarity. In addition, methods for fuzzy …

… Finally, we show that a dissimilarity or distance measure, which satisfies the properties of a
… the mutual agreement of interval-valued evidence for aggregation as well as clustering and …

… The multi-value data sets clustering will be resolved in the … while 0 shows no mutual link
with the maximum level of … distance: learning dissimilarity for categorical data clustering", …

… measure into account in such a way that similar observations lead to similar encoding vectors.
This re-establishes the ability to cluster and classify text values that … as mutually exclusive. …

… robust weighted dissimilarity measure. The robustness of the dissimilarity measure for interval…
The 22 fuzzy journals (in italic in Table 4) show either the values of the midpoints of the two …

… Then, assuming uniform probability for values in multi-valued … also to maximize the dissimilarity
against the whole concept. … Multivalued type proximity measure and concept of mutual …

… Features having small average compactness are mutually … uniform probability for values
in a multi-valued feature, we … /or clusters, to evaluate the dissimilarity of a cluster against …

… in a cluster analysis context and extended it to different types of … categorical value, a set of
values or categories (multivalued … Moreover, some dissimilarity measures for interval data can …

… a numerical measure of similarity or dissimilarity to cluster … They cannot adequately handle
the many-valued, nominal … To determine the mutual distance from object A to object B, objects …

… modal multi-valued feature \(F_j\) containing category values \… clusters tend to happen
with smaller values of dissimilarity … based on mutual similarity value and the concept of k-mutual …