Data-dependent

Data-dependent Similarity

Investigating the data-dependent similarity measures for distance-based learning algorithms. The source code of the latest data-dependent similarity measure **aNNE** (AAAI-19) can be obtained from **[here](https://github.com/zhuye88/anne-dbscan-demo)**.

Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering

We identify shortcomings of using a tree method to implement Isolation Similarity; and propose a nearest neighbour method instead.

Lowest probabilitymass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms

We propose to use mass-based dissimilarity, which employs estimates of the probability mass to measure dissimilarity, to replace the distance metric.

Overcoming key weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure

A generic data dependent dissimilarity, named massbased dissimilarity, is proposed to allow for different implementations.