| Literature DB >> 27942416 |
Haizhou Wang1, Mingzhou Song1.
Abstract
The heuristic k-means algorithm, widely used for cluster analysis, does not guarantee optimality. We developed a dynamic programming algorithm for optimal one-dimensional clustering. The algorithm is implemented as an R package called Ckmeans.1d.dp. We demonstrate its advantage in optimality and runtime over the standard iterative k-means algorithm.Entities:
Year: 2011 PMID: 27942416 PMCID: PMC5148156
Source DB: PubMed Journal: R J ISSN: 2073-4859 Impact factor: 3.984