A spectroscopy of texts for effective clustering
For many clustering algorithms, such as k-means, EM, and CLOPE, there is usually a requirement to set some parameters. Often, these parameters directly or indirectly control the number of clusters to return. In the presence of different data characteristics and analysis contexts, it is often difficu...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2004
|
| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/1018 https://ink.library.smu.edu.sg/context/sis_research/article/2017/viewcontent/Li2004_Chapter_ASpectroscopyOfTextsForEffecti.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Singapore Management University |
| Language: | English |