46 citations · 67 across the 6 of their papers we have counts for
6 papers
Modularity Component Analysis versus Principal Component Analysis
Hansi Jiang, Carl Meyer
In this paper the exact linear relation between the leading eigenvectors of the modularity matrix and the singular vectors of an uncentered data matrix is developed. Based on this…
Relations Between Adjacency and Modularity Graph Partitioning
Hansi Jiang, Carl Meyer
This paper develops the exact linear relationship between the leading eigenvector of the unnormalized modularity matrix and the eigenvectors of the adjacency matrix. We propose a m…
A Case Study in Text Mining: Interpreting Twitter Data From World Cup Tweets
Daniel Godfrey, Caley Johns, Carl Meyer +2
Cluster analysis is a field of data analysis that extracts underlying patterns in data. One application of cluster analysis is in text-mining, the analysis of large collections of…
A Flexible Iterative Framework for Consensus Clustering
Shaina Race, Carl Meyer
A novel framework for consensus clustering is presented which has the ability to determine both the number of clusters and a final solution using multiple algorithms. A consensus s…
Determining the Number of Clusters via Iterative Consensus Clustering
Shaina Race, Carl Meyer, Kevin Valakuzhy
We use a cluster ensemble to determine the number of clusters, k, in a group of data. A consensus similarity matrix is formed from the ensemble using multiple algorithms and severa…
Data Clustering via Principal Direction Gap Partitioning
Ralph Abbey, Jeremy Diepenbrock, Amy Langville +3
We explore the geometrical interpretation of the PCA based clustering algorithm Principal Direction Divisive Partitioning (PDDP). We give several examples where this algorithm brea…