A new cluster validity measure and its application to image compression

By Chien-Hsing Chou, M. Su, Eugene Lai. Pattern Analysis and Applications, 2004

345 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

View Paper: https://www.semanticscholar.org/paper/23e529554345f18c1cb0d068e54ec337440c37e1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jörg Sander
2. Ricardo José Gabrielli Barreto Campello
3. Arthur Zimek
4. Davoud Moulavi
5. Javier Francisco Muguerza
6. Olatz Arbelaitz
7. Iñigo Perona
8. Ibai Gurrutxaga

In Signal Processing

1. Arthur Zimek
2. Jörg Sander
3. Ricardo José Gabrielli Barreto Campello
4. Davoud Moulavi
5. D. Angelov
6. Leland McInnes
7. John Healy
8. René Vidal

Citations in the corpus

• Density-Based Clustering Validation (2014, methodology): “As we shall see, however, these measures have serious drawbacks that limit their practical applicability.”
• An extensive comparative study of cluster validity indices (2013, background): “It is common to find works comparing 5 or 10 CVIs on a similar number of datasets [6] [21] [22] [25] [8] [26] [24] .”