Modification of conceptual clustering algorithm Cobweb for numerical data using fuzzy membership function

This work addresses a domain-specific limitation in clustering algorithms for researchers or practitioners dealing with numerical datasets, but it is incremental as it builds directly on an existing method.

The authors tackled the problem of applying the conceptual clustering algorithm Cobweb to numerical data by modifying it with a fuzzy membership function, resulting in an adapted version suitable for such data types.