Density Based Clustering for Satisfiability Solving

2018 ◽  
pp. 899-908 ◽  
Author(s):  
Celia Hireche ◽  
Habiba Drias
Keyword(s):  
Density Based Clustering ◽  
Satisfiability Solving

scholarly journals SDCOR: Scalable density-based clustering for local outlier detection in massive-scale datasets

2021 ◽  
pp. 107256
Author(s):  
Sayyed Ahmad Naghavi Nozad ◽  
Maryam Amir Haeri ◽  
Gianluigi Folino
Keyword(s):  
Outlier Detection ◽  
Density Based Clustering ◽  
Massive Scale ◽  
Local Outlier

Efficient Implementation and Parallelization Of Fuzzy Density Based Clustering

2021 ◽  
Author(s):  
Can Atilgan ◽  
Baris Tekin Tezel ◽  
Efendi Nasiboglu
Keyword(s):  
Efficient Implementation ◽  
Density Based Clustering

Adaptive Density-Based Clustering Algorithm with Shared KNN Conflict Game

2021 ◽  
Author(s):  
Rui Zhang ◽  
Tao Du ◽  
Shouning Qu ◽  
Hongwei Sun
Keyword(s):  
Clustering Algorithm ◽  
Density Based Clustering

Density-based clustering with topographic maps

1999 ◽  
Vol 10 (1) ◽  
pp. 204-207 ◽  
Author(s):  
M.M. Van Hulle
Keyword(s):  
Topographic Maps ◽  
Density Based Clustering

A top-down approach for density-based clustering using multidimensional indexes

2004 ◽  
Vol 73 (1) ◽  
pp. 169-180 ◽  
Author(s):  
Jae-Joon Hwang ◽  
Kyu-Young Whang ◽  
Yang-Sae Moon ◽  
Byung-Suk Lee
Keyword(s):  
Top Down ◽  
Density Based Clustering

Distance Density Based Clustering Algorithm in Wireless Sensor Network

2011 ◽  
Vol 291-294 ◽  
pp. 344-348
Author(s):  
Lin Lin ◽  
Shu Yan ◽  
Yi Nian
Keyword(s):  
Clustering Algorithm ◽  
Distribution Density ◽  
Simulation Experiment ◽  
Clustering Algorithms ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Cluster Heads ◽  
Hierarchical Topology ◽  
Energy Factors ◽  
Density Based Clustering

The hierarchical topology of wireless sensor networks can effectively reduce the consumption in communication. Clustering algorithm is the foundation to realize herarchical structure, so it has been extensive researched. On the basis of Leach algorithm, a distance density based clustering algorithm (DDBC) is proposed, considering synthetically the distribution density of around nodes and the remaining energy factors of the node to dynamically banlance energy usage of nodes when selecting cluster heads. We analyzed the performance of DDBC through compared with the existing other clustering algorithms in simulation experiment. Results show that the proposed method can generare stable quantity cluster heads and banlance the energy load effectively.

Sign in / Sign up

Export Citation Format

Share Document