Automatic construction of player categories using data clustering techniques
There is still much to be explored in the field of player modeling especially when it comes to classifying different players to their respective player categories. This becomes evident as most of the commercial games available today distinguish player types in a relatively shallow manner. These game...
Saved in:
Main Authors: | Atanacio, Gene Michael K., Balderama, Alexis Jarome D., Velez, Felipe Ramon B., Villafuerte, Anna Lorene M. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2009
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/10625 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Super paramagnetic clustering of DNA sequences
by: SUGIARTO RADJIMAN
Published: (2010) -
Data mining methodologies for gene expression analysis: Application to strain improvement
by: JONNALAGADDA SUDHAKAR
Published: (2010) -
Density-based clustering of data streams at multiple resolutions
by: Wan, Li
Published: (2013) -
Clustering in dynamic spatial databases
by: Zhang, J., et al.
Published: (2013) -
A novel grid-based clustering algorithm
by: Starczewski, Artur, et al.
Published: (2022)