Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Clustering spatial data in the presence of obstacles: a density-based approach
Spatial Clustering in the Presence of Obstacles
A distribution-based clustering algorithm for mining in large spatial databases
P-DBSCAN: a density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos
Survey and Performance Evaluation of DBSCAN Spatial Clustering Implementations for Big Data and High-Performance Computing Paradigms
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
An Empirical Evaluation of Density-Based Clustering Techniques
A Fast Parallel Clustering Algorithm for Large Spatial Databases
Ant-Based Clustering and Topographic Mapping
Content driven clustering algorithm combining density and distance functions
GMDBSCAN: Multi-Density DBSCAN Cluster Based on Grid
Visual Analytics for Spatial Clustering: Using a Heuristic Approach for Guided Exploration
A Robust Density-Based Clustering Approach Using DBCURE – MapReduce Techniques
Density-Based Multiscale Analysis for Clustering in Strong Noise Settings With Varying Densities
Approximation techniques for spatial data
Using grid for accelerating density-based clustering
GeoClustering: A web service for geospatial clustering
A local density-based approach for outlier detection
l-DBSCAN : A Fast Hybrid Density Based Clustering Method
Algorithms for spatial outlier detection
An Improved DBSCAN Clustering Algorithm for Multi-density Datasets
Escherichia coli: a brief review of diarrheagenic pathotypes and their role in diarrheal diseases in Iran
Corroborating information from disagreeing views
OrdRec: an ordinal model for predicting personalized item rating distributions
Some methods for classification and analysis of multivariate observations
Causal Inference and Uplift Modelling: A Review of the Literature.