The Clustering Method Based on the Consequential Running of k-Means with Calculation of the Distances to the Active Centroids
A variant of the clustering problem solution based on k-means algorithm is considered. This algorithm is widely used in many fields of science and technology. The main drawbacks of k-means algorithm are the clustering results dependence on the choice of the initial configuration of centroids (initia...
Saved in:
| Date: | 2012 |
|---|---|
| Main Authors: | Ткаченко, О. М., Біліченко, Н. О., Грійо Тукало, О. Ф., Дзісь, О. В. |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
Інститут проблем реєстрації інформації НАН України
2012
|
| Subjects: | |
| Online Access: | http://drsp.ipri.kiev.ua/article/view/311801 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Data Recording, Storage & Processing |
Institution
Data Recording, Storage & ProcessingSimilar Items
-
The polymerization of acetylene on supported metal clusters
by: Gilb, S., et al.
Published: (2006) -
Ionic chromophores Xe⁺p (p≤ 4) in multishell rare-gas clusters Xem(NF₃)kNe₇₅₀₀ (m, k ≤ 100) studied with fluorescence spectroscopy
by: Kanaev, A., et al.
Published: (2006) -
Desorption of water cluster ions from the surface of solid rare gases
by: Tachibana, T., et al.
Published: (2006) -
A method of formation and clusterization of correlation networks of concepts
by: Ланде, Д. В., et al.
Published: (2021) -
Physics of complex systems
by: Mryglod, I.M.
Published: (2001)