K-means properties on six clustering benchmark datasets

By Pasi Fränti, Sami Sieranoja. Applied intelligence (Boston), 2018

472 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/a50ecb9ed4f376eac69c456cf0d31089b435ec28

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Sami Sieranoja
2. Pasi Fränti

In Computer Vision and Pattern Recognition

1. Sami Sieranoja
2. Pasi Fränti

Citations in the corpus

• How much can k-means be improved by using better initialization and repeats? (2019, methodology): “In [39], SSE is also measured relative to the SSE-value of the ground truth solution ( SSE opt ): If the ground truth is known, external indexes such as adjusted Rand index (ARI), Van Dongen (VD), variation of information (VI) or normalized mutual information (NMI) can also be used [22].”