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Performance evaluation of sampling-based large-scale clustering algorithms

Author: Olukanmi, PO ; Nelwamondo, Fulufhelo V ; Marwala, T Date: Jan 2019 Using benchmark datasets, we study the performances of three efficient clustering algorithms which find cluster centers using a fixed number of random samples. The algorithms are also compared with two other (well-known) algorithms, namely ... Read more
Rethinking k-means clustering in the age of massive datasets: A constant-time approach

Author: Olukanmi, P ; Nelwamondo, Fulufhelo V ; Marwala, T Date: Dec 2019 We introduce a highly efficient k-means clustering approach. We show that the classical central limit theorem addresses a special case (k=1) of the k-means problem and then extend it to the general case. Instead of using the full dataset, our ... Read more

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Browsing by Subject "Large datasets"

Browsing by Subject "Large datasets"

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