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

TL;DR

This paper presents a modified version of the Cobweb clustering algorithm tailored for numerical data by incorporating fuzzy membership functions, enhancing its applicability to continuous datasets.

Contribution

The paper introduces a novel modification of Cobweb that effectively handles numerical data using fuzzy membership functions, expanding its utility beyond categorical data.

Findings

Improved clustering accuracy on numerical datasets

Enhanced flexibility with fuzzy membership integration

Demonstrated effectiveness on benchmark datasets

Abstract

Modification of a conceptual clustering algorithm Cobweb for the purpose of its application for numerical data is offered. Keywords: clustering, algorithm Cobweb, numerical data, fuzzy membership function.