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Modularity Component Analysis versus Principal Component Analysis
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.
Relations Between Adjacency and Modularity Graph Partitioning
This paper develops the exact linear relationship between the leading eigenvector of the unnormalized modularity matrix and the eigenvectors of the adjacency matrix.
A Case Study in Text Mining: Interpreting Twitter Data From World Cup Tweets
We clustered the tweets using k-means, a commonly used clustering algorithm, and Non-Negative Matrix Factorization (NMF) and compared the results.
A Flexible Iterative Framework for Consensus Clustering
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.
Determining the Number of Clusters via Iterative Consensus Clustering
We use a cluster ensemble to determine the number of clusters, k, in a group of data.
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