46 citations · 67 across the 4 of their papers we have counts for
4 papers
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…