An Improved Correlation-Based Algorithm with Discretization for Attribute Reduction in Data Clustering
Attribute reduction aims to reduce the dimensionality of large scale data without losing useful information and is an important topic of knowledge discovery, data clustering, and classification. In this paper, we aim to solve the current problem that a continuous attribute in a clustering or classif...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2009-04-01
|
| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | http://datascience.codata.org/articles/233 |