Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
OPTICS: ordering points to identify the clustering structure
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
BGP routing stability of popular destinations
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Incremental Clustering for Mining in a Data Warehousing Environment
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Network radar: tomography from round trip time measurements
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Passive network tomography using EM algorithms
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Securing internet coordinate embedding systems
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Network discovery from passive measurements
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Passive analysis of TCP anomalies
Computer Networks: The International Journal of Computer and Telecommunications Networking
Robustness of density-based clustering methods with various neighborhood relations
Fuzzy Sets and Systems
Netcluster: a clustering-based framework for internet tomography
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
IP geolocation databases: unreliable?
ACM SIGCOMM Computer Communication Review
An incremental clustering algorithm based on compact sets with radius α
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Uncovering the big players of the web
TMA'12 Proceedings of the 4th international conference on Traffic Monitoring and Analysis
A robust EM clustering algorithm for Gaussian mixture models
Pattern Recognition
Multicast-based inference of network-internal loss characteristics
IEEE Transactions on Information Theory
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Internet measured data collected via passive measurement are analyzed to obtain localization information on nodes by clustering (i.e., grouping together) nodes that exhibit similar network path properties. Since traditional clustering algorithms fail to correctly identify clusters of homogeneous nodes, we propose the NetCluster novel framework, suited to analyze Internet measurement datasets. We show that the proposed framework correctly analyzes synthetically generated traces. Finally, we apply it to real traces collected at the access link of Politecnico di Torino campus LAN and discuss the network characteristics as seen at the vantage point.