A comprehensive survey of clustering algorithms
Data analysis is used as a common method in modern science research, which is across
communication science, computer science and biology science. Clustering, as the basic …
communication science, computer science and biology science. Clustering, as the basic …
Potential of unsubsidized distributed solar PV to replace coal-fired power plants, and profits classification in Chinese cities
This paper analyzes if solar photovoltaic technology is economically feasible enough to
compete with coal-fired power in Chinese cities in the subsidy-free context. Considering this …
compete with coal-fired power in Chinese cities in the subsidy-free context. Considering this …
[图书][B] Data clustering: theory, algorithms, and applications
The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …
2007. Starting with the common ground and knowledge for data clustering, the monograph …
Clustering algorithms research
孙吉贵， 刘杰， 赵连宇 - Journal of software, 2008 - jos.org.cn
对近年来聚类算法的研究现状与新进展进行归纳总结. 一方面对近年来提出的较有代表性的聚类
算法, 从算法思想, 关键技术和优缺点等方面进行分析概括; 另一方面选择一些典型的聚类算法和 …
算法, 从算法思想, 关键技术和优缺点等方面进行分析概括; 另一方面选择一些典型的聚类算法和 …
A local-density based spatial clustering algorithm with noise
Density-based clustering algorithms are attractive for the task of class identification in spatial
database. However, in many cases, very different local-density clusters exist in different …
database. However, in many cases, very different local-density clusters exist in different …
Fast and stable clustering analysis based on Grid-mapping K-means algorithm and new clustering validity index
E Zhu, Y Zhang, P Wen, F Liu - Neurocomputing, 2019 - Elsevier
As a classical data analysis technique, clustering plays the important role in identifying
natural structures of target datasets. However, many of the existing clustering methods …
natural structures of target datasets. However, many of the existing clustering methods …
Comparison of hierarchical and non-hierarchical clustering algorithms
FK Gülagiz, S Sahin - International Journal of Computer …, 2017 - search.proquest.com
As a result of wide use of technology, large data volumes began to emerge. Analyzes on this
big size data and obtain knowledge in it very difficult with simple methods. So data mining …
big size data and obtain knowledge in it very difficult with simple methods. So data mining …
Entropy-based grid approach for handling outliers: a case study to environmental monitoring data
Grid-based approaches render an efficient framework for data clustering in the presence of
incomplete, inexplicit, and uncertain data. This paper proposes an entropy-based grid …
incomplete, inexplicit, and uncertain data. This paper proposes an entropy-based grid …
The involvement of public higher education institutions (HEIs) in Poland in the promotion of the sustainable development goals (SDGs) in the age of social media
P Pietrzak - Information, 2022 - mdpi.com
The aim of this paper is to present the involvement of public Higher Education Institutions
(HEIs) in Poland in promoting the Sustainable Development Goals (SDGs) in 2021. The …
(HEIs) in Poland in promoting the Sustainable Development Goals (SDGs) in 2021. The …