4 papers
Hierarchical Aggregation Approach for Distributed clustering of spatial datasets
Malika Bendechache, Nhien-An Le-Khac, M-Tahar Kechadi
In this paper, we present a new approach of distributed clustering for spatial datasets, based on an innovative and efficient aggregation technique. This distributed approach consi…
Distributed Clustering Algorithm for Spatial Data Mining
Malika Bendechache, M-Tahar Kechadi
Distributed data mining techniques and mainly distributed clustering are widely used in the last decade because they deal with very large and heterogeneous datasets which cannot be…
Distributed Spatial Data Clustering as a New Approach for Big Data Analysis
Malika Bendechache, Nhien-An Le-Khac, M-Tahar Kechadi
In this paper we propose a new approach for Big Data mining and analysis. This new approach works well on distributed datasets and deals with data clustering task of the analysis.…
Efficient Large Scale Clustering based on Data Partitioning
Malika Bendechache, Nhien-An Le-Khac, M-Tahar Kechadi
Clustering techniques are very attractive for extracting and identifying patterns in datasets. However, their application to very large spatial datasets presents numerous challenge…