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cs.LG2019
Text Mining using Nonnegative Matrix Factorization and Latent Semantic Analysis
Ali Hassani, Amir Iranmanesh, Najme Mansouri
Text clustering is arguably one of the most important topics in modern data mining. Nevertheless, text data require tokenization which usually yields a very large and highly sparse…
cs.LG2019★ 3 cited
DISCERN: Diversity-based Selection of Centroids for k-Estimation and Rapid Non-stochastic Clustering
Ali Hassani, Amir Iranmanesh, Mahdi Eftekhari +1
One of the applications of center-based clustering algorithms such as K-Means is partitioning data points into K clusters. In some examples, the feature space relates to the underl…