$\alpha$-Approximation Density-based Clustering of Multi-valued Objects

TL;DR

This paper proposes an alpha-approximation method for density-based clustering tailored to multi-valued objects, aiming to improve clustering accuracy and efficiency in complex data scenarios.

Contribution

It introduces a novel alpha-approximation algorithm specifically designed for density-based clustering of multi-valued objects, addressing limitations of existing methods.

Findings

Demonstrates improved clustering quality on benchmark datasets

Achieves computational efficiency over previous algorithms

Provides theoretical guarantees for approximation quality

Abstract

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