3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.SI2019★ 2 cited
Generalized Modularity Embedding: a General Framework for Network Embedding
Cheng-Shang Chang, Ching-Chu Huang, Chia-Tai Chang +2
The network embedding problem aims to map nodes that are similar to each other to vectors in a Euclidean space that are close to each other. Like centrality analysis (ranking) and…
cs.SI2017★ 3 cited
A Unified Framework for Sampling, Clustering and Embedding Data Points in Semi-Metric Spaces
Chia-Tai Chang, Cheng-Shang Chang
In this paper, we propose a unified framework for sampling, clustering and embedding data points in semi-metric spaces. For a set of data points in a…
cs.DS2017★ 1 cited
K-sets+: a Linear-time Clustering Algorithm for Data Points with a Sparse Similarity Measure
Cheng-Shang Chang, Chia-Tai Chang, Duan-Shin Lee +1
In this paper, we first propose a new iterative algorithm, called the K-sets+ algorithm for clustering data points in a semi-metric space, where the distance measure does not neces…