Results 31 to 40 of about 17,769,086 (225)
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 +3 more
doaj +1 more source
B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM
Journal of Theoretical and Applied Electronic Commerce Research, 2022 Customer churn prediction is very important for e-commerce enterprises to formulate effective customer retention measures and implement successful marketing strategies.
Xiancheng Xiahou, Yoshio Harada
semanticscholar +1 more source
The comparative study of text documents clustering algorithms
Environment Conservation Journal, 2015 Clustering is one of the most significant research area in the field of data mining and considered as an important tool in the fast developing information explosion era.Clustering systems are used more and more often in text mining, especially in ...
Mohammad Eiman Jamnezhad, Reza Fattahi
doaj +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 +3 more
doaj +1 more source
, 2023 Leibniz International Proceedings in Informatics (LIPIcs ...
Grunau, Christoph +2 more
openaire +4 more sources
Functional Factorial K-means Analysis [PDF]
, 2014 A new procedure for simultaneously finding the optimal cluster structure of multivariate functional objects and finding the subspace to represent the cluster structure is presented.
Terada, Yoshikazu, Yamamoto, Michio
core +2 more sources
Quantum Clustering with k-Means: a Hybrid Approach [PDF]
Theoretical Computer Science, 2022 Quantum computing is a promising paradigm based on quantum theory for performing fast computations. Quantum algorithms are expected to surpass their classical counterparts in terms of computational complexity for certain tasks, including machine learning.
Alessandro Poggiali +4 more
semanticscholar +1 more source
A Novel K-Means Clustering Algorithm with a Noise Algorithm for Capturing Urban Hotspots
Applied Sciences, 2021 With the development of cities, urban congestion is nearly an unavoidable problem for almost every large-scale city. Road planning is an effective means to alleviate urban congestion, which is a classical non-deterministic polynomial time (NP) hard ...
Xiaojuan Ran +4 more
semanticscholar +1 more source
Introduction to Geographic and Spatial Approaches in the History of Archaeology
Bulletin of the History of Archaeology, 2015 Who studies the historiography of archaeology? Who reads the history of the discipline? Recent years have seen growing interest in the history of archaeology as is reflected in works such as Christenson (1989), Trigger (1989; 2006), Chakrabarti (1988 ...
Neha Gupta, Bernard K Means
doaj +1 more source
Detecting Learning Patterns in Tertiary Education Using K-Means Clustering
Information, 2022 We are in the era where various processes need to be online. However, data from digital learning platforms are still underutilised in higher education, yet, they contain student learning patterns, whose awareness would contribute to educational ...
Emmanuel Tuyishimire +3 more
doaj +1 more source