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- Title
MAKING THE K-MEANS ALGORITHM USING THE HAMMING DISTANCE.
- Authors
STOICA, Liviu Constantin; CRISTESCU, Marian Pompiliu; STANCU, Ana-Maria Ramona
- Abstract
In this article I will start in the first part with an introduction to unsupervised learning methods, specifically the K-Means clustering algorithm, the algorithm achieved using the Euclidean distance. In the second part, we modified the K-Means algorithm, which is to say, I realized it with the help of Hamming, and then we compared the clustering time, and we made a parallel between the two algorithms (the K-means algorithm conducted with the Euclidean distance and the algorithm K-Means achieved using the Hamming distance).
- Subjects
K-means clustering; HAMMING distance; EUCLIDEAN distance; ITERATIVE methods (Mathematics); CRYPTOGRAPHY
- Publication
Knowledge Horizons / Orizonturi ale Cunoasterii, 2017, Vol 9, Issue 4, p25
- ISSN
2069-0932
- Publication type
Article