Research on k-means clustering algorithm: An improved k-means clustering algorithm
S Na, L Xumin, G Yong - 2010 Third International Symposium …, 2010 - ieeexplore.ieee.org
Clustering analysis method is one of the main analytical methods in data mining, the method
of clustering algorithm will influence the clustering results directly. This paper discusses the …
of clustering algorithm will influence the clustering results directly. This paper discusses the …
A novel density-based clustering framework by using level set method
XF Wang, DS Huang - IEEE Transactions on knowledge and …, 2009 - ieeexplore.ieee.org
In this paper, a new density-based clustering framework is proposed by adopting the
assumption that the cluster centers in data space can be regarded as target objects in image …
assumption that the cluster centers in data space can be regarded as target objects in image …
A review of quantum-inspired metaheuristic algorithms for automatic clustering
In real-world scenarios, identifying the optimal number of clusters in a dataset is a difficult
task due to insufficient knowledge. Therefore, the indispensability of sophisticated automatic …
task due to insufficient knowledge. Therefore, the indispensability of sophisticated automatic …
A novel white blood cell segmentation scheme using scale-space filtering and watershed clustering
K Jiang, QM Liao, SY Dai - Proceedings of the 2003 …, 2003 - ieeexplore.ieee.org
In this paper, a novel white blood cell (WBC) segmentation scheme using scale-Space
filtering and watershed clustering is proposed. In this scheme, nucleus and cytoplasm, the …
filtering and watershed clustering is proposed. In this scheme, nucleus and cytoplasm, the …
[KNJIGA][B] Introduction to lattice algebra: With applications in ai, pattern recognition, image analysis, and biomimetic neural networks
Background. Lattice theory extends into virtually every branch of mathematics, ranging from
measure theory and convex geometry to probability theory and topology. A more recent …
measure theory and convex geometry to probability theory and topology. A more recent …
A novel white blood cell segmentation scheme based on feature space clustering
K Jiang, QM Liao, Y ** thermophysical units from Martian thermal inertia and albedo data using a combination of unsupervised classification …
Thermal inertia and albedo provide information on the distribution of surface materials on
Mars. These parameters have been mapped globally on Mars by the Thermal Emission …
Mars. These parameters have been mapped globally on Mars by the Thermal Emission …
A non-destructive oil palm ripeness recognition system using relative entropy
A Taparugssanagorn, S Siwamogsatham… - … and Electronics in …, 2015 - Elsevier
This paper introduces a relative entropy based image processing approach for the non-
destructive prediction of the maturity of oil palm fresh fruit bunches (FFB) which enables the …
destructive prediction of the maturity of oil palm fresh fruit bunches (FFB) which enables the …