Results 31 to 40 of about 15,852,135 (305)

Analyze the Clustering and Predicting Results of Palm Oil Production in Aceh Utara

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023
PT. Perkebunan Nusantara 1 is engaged in oil palm production with a total land area of 1,144 Ha. The formulation of this research can determine productive land clusters based on land area, number of trees, number of stages, and palm oil production ...
Mutammimul Ula, Gita Perdinanta, Rahmad Hidayat, Ilham Sahputra   +3 more
doaj   +1 more source

K-Means clustering.

, 2023
K-Means clustering.
Armand Joseph D. Esteller (14636924), Jarod E. Bruno (14636927), Ardvin Kester S. Ong (14636918), Thanatorn Chuenyindee (14636936), Kriengkrai Thana (14636939), Reny Nadlifatin (14138838), Yogi Tri Prasetyo (14636921), Kathryn Cheska O. Lagorza (14636930), Satria Fadil Persada (14138826), Lance Edward T. Oli (14636933)   +9 more
core   +1 more source

Skill set profile clustering: the empty K-means algorithm with automatic specification of starting cluster centers [PDF]

, 2010
While students’ skill set profiles can be estimated with formal cognitive diagnosis models [8], their computational complexity makes simpler proxy skill estimates attractive [1, 4, 6].
Nugent, R., Ayers, E., Dean, N.
core   +6 more sources

Boost K-Means

CoRR, 2016
Due to its simplicity and versatility, k-means remains popular since it was proposed three decades ago. The performance of k-means has been enhanced from different perspectives over the years. Unfortunately, a good trade-off between quality and efficiency is hardly reached. In this paper, a novel k-means variant is presented.
Wanlei Zhao, Cheng-Hao Deng, Chong-Wah Ngo   +2 more
openaire   +3 more sources

K-means selected templates.

, 2022
K-means selected templates.
Chi Zhang (9857), Sara Rolfe (6094079), Arthur Porto (3272547), A. Murat Maga (14204458), Altan Kocatulum (14204455)   +4 more
core   +1 more source

Using classification and K-means methods to predict breast cancer recurrence in gene expression data

Journal of Medical Signals and Sensors, 2022
Background: Breast cancer is a type of cancer that starts in the breast tissue and affects about 10% of women at different stages of their lives.
Mohammadreza Sehhati, Mohammad Amin Tabatabaiefar, Ali Haji Gholami, Mohammad Sattari   +3 more
doaj   +1 more source

Asymptotics for The $k$-means

CoRR, 2022
The $k$-means is one of the most important unsupervised learning techniques in statistics and computer science. The goal is to partition a data set into many clusters, such that observations within clusters are the most homogeneous and observations between clusters are the most heterogeneous.
openaire   +2 more sources

K-means algorithm [20].

, 2023
K-means algorithm [20].
Nelly Rosario Moreno-Leyva (14341345), Dennis Karlo Silva-Vargas (14341357), Jorge Sánchez-Garcés (14341342), Himer Avila-George (4683394), Dina Milagros Tapara-Yanarico (14341354), Alex Danny Chambi-Rodriguez (14341351), Lorena Marténez Soto (14341348)   +6 more
core   +1 more source

Group $K$-Means

CoRR, 2015
The developed algorithm is similar with "Christopher F. Barnes, A new multiple path search technique for residual vector quantizers, 1994", but we conduct the research independently and apply it in data/feature compression and image ...
Jianfeng Wang, Shuicheng Yan, Yi Yang 0001, Mohan S. Kankanhalli, Shipeng Li 0001, Jingdong Wang 0001   +5 more
openaire   +3 more sources

Multi-Swap k-Means++

Advances in Neural Information Processing Systems 36, 2023
The $k$-means++ algorithm of Arthur and Vassilvitskii (SODA 2007) is often the practitioners' choice algorithm for optimizing the popular $k$-means clustering objective and is known to give an $O(\log k)$-approximation in expectation. To obtain higher quality solutions, Lattanzi and Sohler (ICML 2019) proposed augmenting $k$-means++ with $O(k \log \log
Lorenzo Beretta 0001, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis   +3 more
openaire   +3 more sources