Adaptive Wavelet Clustering for Highly Noisy Data

Zengjian Chen, Jiayi Liu, Yihe Deng +2

In this paper we make progress on the unsupervised task of mining arbitrarily shaped clusters in highly noisy datasets, which is a task present in many real-world applications. Bas…