Implementation of data mining on mangroves species using k-means algorithm

Author:

Maravillas Alme B.,Viodor Ariel Christian C.,Dinoy Romar B.,Avenido Margie V.,Cabrillos Jemma Lucitte A.

Publisher

AIP Publishing

Reference29 articles.

1. Aljaghthmi, O. H., Heba, H. M., & Zeid, I. A. (2017). Antihyperglycemic properties of mangrove plants (Rhizophora mucronata and Avicennia marina): an overview. Advances in Biological Research, 11(4), 161–170.

2. Bain K K, Firli I, and Tri S. (2016) Genetic Algorithm For Optimized Initial Centers K-Means Clustering In SMEs, Journal of Theoretical and Applied Information Technology (JATIT) v 90 p 23

3. Ball, M. C., & Pidsley, S. M. (1995). Growth responses to salinity in relation to distribution of two mangrove species, Sonneratia alba and S. lanceolata, in northern Australia. Functional Ecology, 77–85.

4. A comparative study of efficient initialization methods for the k-means clustering algorithm

5. Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

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