TY  - JOUR
AU  - Fisher, Douglas H.
T1  - Knowledge Acquisition Via Incremental Conceptual Clustering
JO  - Machine Learning
PY  - 1987/10
VL  - 2
IS  - 2
SP  - 139
EP  - 172
UR  - 
M3  - 
KW  - inference
KW  - conceptual
KW  - concept
KW  - climbing
KW  - hill
KW  - clustering
KW  - formation
KW  - incremental
KW  - learning
L1  - 
SN  - 
N1  - 
N1  - 
AB  - Conceptual clustering is an important way of summarizing and explaining data. However, the recent formulation of this paradigm has allowed little exploration of conceptual clustering as a means of improving performance. Furthermore, previous work in conceptual clustering has not explicitly dealt with constraints imposed by real world environments. This article presents COBWEB, a conceptual clustering system that organizes data so as to maximize inference ability. Additionally, COBWEB is incremental and computationally economical, and thus can be flexibly applied in a variety of domains.
ER  -