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What is Enhancing Clusters by Outlier Elimination about?
This document outlines a research proposal to develop and implement parameter-free clustering algorithms for outlier detection and elimination in high-dimensional categorical data for data mining applications in education. The proposal includes a literature review of existing clustering techniques, identification of their limitations in handling outliers and high-dimensional data, and a proposed framework utilizing a Frequent Pattern based Outlier Test (FPOT) algorithm and Multi-Phase Clustering (MPC) algor
- Author
- diptipatil20
- Language
- EN