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What (who) is fuzzy clustering - definition
Fuzzy clustering
CLUSTER ANALYSIS WHERE MEMBERSHIP OF A DATA POINT IN A CLUSTER IS FUZZY
Soft K-means; Fuzzy C-means clustering; FCM algorithm; Applications of fuzzy clustering
Fuzzy clustering (also referred to as soft clustering or soft k-means) is a form of clustering in which each data point can belong to more than one cluster.
fuzzy subset
SETS WHOSE ELEMENTS HAVE DEGREES OF MEMBERSHIP
Fuzzy sets; Fuzzy set theory; Fuzzification; Fuzzy subset; Credibility(fuzzy); Fuzzy category; Goguen category; Fuzzy Sets; Fuzzy relation equation; Pythagorean fuzzy set; Degree of membership; Uncertain set
In fuzzy logic, a fuzzy subset F of a set S is defined by a
"membership function" which gives the degree of membership of
each element of S belonging to F.
Balanced clustering
Balanced clustering is a special case of clustering where, in the strictest sense, cluster sizes are constrained to \lfloor {n\over k}\rfloor or \lceil{n \over k}\rceil, where n is the number of points and k is the number of clusters. A typical algorithm is balanced k-means, which minimizes mean square error (MSE).
