Aggregation of Individual Feature Based Similarities and Application to Hierarchical Clustering
The measure of similarity/dissimilarity is important to clustering algorithms. By using different similarity metrics, a clustering algorithm may achieve different clustering results. Many existed clustering methods employ classic distance measures such as the Euclidean and Manhattan distances as the...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2015-12-01
|
| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/4206 |