Results 31 to 40 of about 3,133,945 (255)

ADOFL: Multi-Kernel-Based Adaptive Directive Operative Fractional Lion Optimisation Algorithm for Data Clustering

Journal of Intelligent Systems, 2018
The progress of databases in fields such as medical, business, education, marketing, etc., is colossal because of the developments in information technology. Knowledge discovery from such concealed bulk databases is a tedious task.
Chander Satish, Vijaya P., Dhyani Praveen   +2 more
doaj   +1 more source

ConDPC: Data Connectivity-Based Density Peak Clustering

Applied Sciences, 2022
As a relatively novel density-based clustering algorithm, Density peak clustering (DPC) has been widely studied in recent years. DPC sorts all points in descending order of local density and finds neighbors for each point in turn to assign all points to ...
Yujuan Zou, Zhijian Wang
doaj   +1 more source

Document clustering using sample weighting [PDF]

, 2007
Clustering algorithm based on Sample weighting has been noticed recently. In this paper, a novel sample weighting clustering algorithm is presented based on K-Means and fuzzy C-Means algorithm.
Su, Xinning, Zhang, Chengzhi, Zhou, Dingmin   +2 more
core   +1 more source

An Improved Integrated Clustering Learning Strategy Based on Three-Stage Affinity Propagation Algorithm with Density Peak Optimization Theory

Complexity, 2021
To better reflect the precise clustering results of the data samples with different shapes and densities for affinity propagation clustering algorithm (AP), an improved integrated clustering learning strategy based on three-stage affinity propagation ...
Limin Wang, Wenjing Sun, Xuming Han, Zhiyuan Hao, Ruihong Zhou, Jinglin Yu, Milan Parmar   +6 more
doaj   +1 more source

An improved fuzzy clustering image segmentation algorithm combining spatial information

Xi'an Gongcheng Daxue xuebao, 2021
In order to improve the ability of fuzzy C-means (FCM) clustering algorithm to suppress noise, an improved fuzzy clustering image segmentation algorithm was proposed.
Xudong LIU, Yunhong LI, Haitao QU, Xueping SU, Rongrong XIE   +4 more
doaj   +1 more source

Accelerating Bayesian hierarchical clustering of time series data with a randomised algorithm [PDF]

, 2013
We live in an era of abundant data. This has necessitated the development of new and innovative statistical algorithms to get the most from experimental data.
Cooke, Emma J., Wild, David L., Robert Darkins, Emma J Cooke, Darkins Robert, Cooke Emma J., Ghahramani Zoubin, Savage, Richard S., Paul D W Kirk, David L Wild, Ghahramani, Zoubin, Kirk Paul D. W., Zoubin Ghahramani, Richard S Savage, Darkins, Robert, Savage Richard S., Kirk, P. (Paul), Wild David L.   +17 more
core   +1 more source

Ensemble Clustering Algorithm Based on Weighted Super Cluster

Jisuanji kexue yu tansuo, 2021
Most ensemble clustering algorithms use K-means to generate base clustering, but the result of base clustering is not good. And most ensemble clustering algorithms ignore the diversity of base clustering, treat base clustering equally, and generate the ...
XUE Hongyan, QIAN Xuezhong, ZHOU Shibing
doaj   +1 more source

Clustering analysis of railway driving missions with niching [PDF]

, 2012
A wide number of applications requires classifying or grouping data into a set of categories or clusters. Most popular clustering techniques to achieve this objective are K-means clustering and hierarchical clustering.
Jaafar, Amine, Sareni, Bruno, Roboam, Xavier   +2 more
core   +1 more source

Analysis of influencing factors on excellent teachers' professional growth based on DB-Kmeans method

EURASIP Journal on Advances in Signal Processing, 2022
The Kmeans clustering algorithm is widely used for the advantages of simplicity and efficient operation. However, the lack of clustering centers in the algorithm usually causes incorrect category of some discrete points.
Xu Gao, Xiaoming Ding, Tingting Han, Yueyuan Kang   +3 more
doaj   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source