Bibliographic Details
| Title: |
Large-scale parallel data clustering. |
| Authors: |
Judd, Dan, McKinley, Philip K., Jain, Anil K. |
| Source: |
IEEE Transactions on Pattern Analysis & Machine Intelligence; Aug98, Vol. 20 Issue 8, p871, 6p, 2 Black and White Photographs, 1 Diagram, 1 Chart, 4 Graphs |
| Subject Terms: |
Algorithms, Mean value theorems, Data mining |
| Abstract: |
Describes algorithmic enhancements which enable large computational reduction in mean square-error data clustering. Incorporation of these improvements into a parallel data-clustering tool, P-Cluster, designed to execute on a network of workstations; Details on experiments conducted involving the unsupervised segmentation of standards texture images; Results of the experiments. |
| Database: |
Complementary Index |