Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: PSO-BASED DBSCAN WITH OBSTACLE CONSTRAINTS
l-DBSCAN : A Fast Hybrid Density Based Clustering Method
An obstacle-based rapidly-exploring random tree
Parallel DBSCAN Algorithm Using a Data Partitioning Strategy with Spark Implementation
DDSC: A Density Differentiated Spatial Clustering Technique
DBSM: The combination of DBSCAN and SMOTE for imbalanced data classification
DBDC : Density Based Distributed Clustering
Path planning based on Constrained Delaunay Triangulation
Clustering with Constraints: Feasibility Issues and the k-Means Algorithm
Data clustering using particle swarm optimization
Simple, real-time obstacle avoidance algorithm for mobile robots
Motion Planning in Dynamic Environments Using Velocity Obstacles
From Partition-Based Clustering to Density-Based Clustering: Fast Find Clusters With Diverse Shapes and Densities in Spatial Databases
SOKOBAN and other motion planning problems
DP-MCDBSCAN: Differential Privacy Preserving Multi-Core DBSCAN Clustering for Network User Data
Detection, prediction, and avoidance of dynamic obstacles in urban environments
fitting b - spline curves to point clouds in the presence of obstacles ausgefuhrt am .
Combining PSO and k-means to enhance data clustering
deep constrained clustering - algorithms and advances .
Manipulation Planning Among Movable Obstacles
Scalable Clustering Algorithms with Balancing Constraints
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
Automatic extrinsic calibration for lidar-stereo vehicle sensor setups
A bird's-eye view on coherence, and a worm's-eye view on cohesion
hypertrophic scars and keloids : etiology and management .
intuitive theories .