Kleinberg introduced three natural clustering properties, or axioms, and showed they cannot be simultaneously satisfied by any clustering algorithm. We present a new clustering property, Monotonic Consistency, which avoids the well-known problematic behaviour of Kleinberg’s Consistency axiom, and the impossibility result. Namely, we describe a clustering algorithm, Morse Clustering, inspired by Morse Theory in Differential Topology, which satisfies Kleinberg’s original axioms with Consistency replaced by Monotonic Consistency. Morse clustering uncovers the underlying flow structure on a set or graph and returns a partition into trees representing basins of attraction of critical vertices. We also generalise Kleinberg’s axiomatic approach to...
We investigate properties that intuitively ought to be satisfied by graph clustering quality functio...
Graph clustering methods such as spectral clustering are defined for general weighted graphs. In mac...
We propose a new method to quantify the solution stability of a large class of combinatorial optimiz...
Kleinberg introduced three natural clustering properties, or axioms, and showed they cannot be simul...
Given a set of objects X a clustering algorithm is a formal procedure that groups together objects w...
Kleinberg (2002) stated three axioms that any clustering procedure should satisfy and showed there i...
Many clustering schemes are defined by optimizing an objective function defined on the partitions of...
We study hierarchical clustering schemes under an axiomatic view. We show that within this framework...
A graph is a tree of paths (cycles), if its vertex set can be partitioned into clusters, such that e...
We investigate properties that intuitively ought to be satisfied by graph clustering quality functio...
We demonstrate that a tree-based theory for various dynamical processes operating on static, undirec...
Classical clustering problems search for a partition of objects into a fixed number of clusters. In ...
We investigate properties that intuitively ought to be satisfied by graph clustering quality functio...
This paper establishes the consistency of a family of graph-cut-based algorithms for clustering of d...
We study clustering over multiple graphs- each encoding a distinct set of similarity relationships (...
We investigate properties that intuitively ought to be satisfied by graph clustering quality functio...
Graph clustering methods such as spectral clustering are defined for general weighted graphs. In mac...
We propose a new method to quantify the solution stability of a large class of combinatorial optimiz...
Kleinberg introduced three natural clustering properties, or axioms, and showed they cannot be simul...
Given a set of objects X a clustering algorithm is a formal procedure that groups together objects w...
Kleinberg (2002) stated three axioms that any clustering procedure should satisfy and showed there i...
Many clustering schemes are defined by optimizing an objective function defined on the partitions of...
We study hierarchical clustering schemes under an axiomatic view. We show that within this framework...
A graph is a tree of paths (cycles), if its vertex set can be partitioned into clusters, such that e...
We investigate properties that intuitively ought to be satisfied by graph clustering quality functio...
We demonstrate that a tree-based theory for various dynamical processes operating on static, undirec...
Classical clustering problems search for a partition of objects into a fixed number of clusters. In ...
We investigate properties that intuitively ought to be satisfied by graph clustering quality functio...
This paper establishes the consistency of a family of graph-cut-based algorithms for clustering of d...
We study clustering over multiple graphs- each encoding a distinct set of similarity relationships (...
We investigate properties that intuitively ought to be satisfied by graph clustering quality functio...
Graph clustering methods such as spectral clustering are defined for general weighted graphs. In mac...
We propose a new method to quantify the solution stability of a large class of combinatorial optimiz...