14 citations · 22 across the 7 of their papers we have counts for
3 papers · 1 filter
A Bibliographic View on Constrained Clustering
Ludmila Kuncheva, Francis Williams, Samuel Hennessey
A keyword search on constrained clustering on Web-of-Science returned just under 3,000 documents. We ran automatic analyses of those, and compiled our own bibliography of 183 paper…
Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale
Ludmila I. Kuncheva, Clare E. Matthews, Álvar Arnaiz-González +1
In classification problems, the purpose of feature selection is to identify a small, highly discriminative subset of the original feature set. In many applications, the dataset may…
Bounds for the VC Dimension of 1NN Prototype Sets
Iain A. D. Gunn, Ludmila I. Kuncheva
In Statistical Learning, the Vapnik-Chervonenkis (VC) dimension is an important combinatorial property of classifiers. To our knowledge, no theoretical results yet exist for the VC…