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» A clustering method that uses lossy aggregation of data
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SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
14 years 5 days ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
SIGMOD
2005
ACM
254views Database» more  SIGMOD 2005»
14 years 8 months ago
Conceptual Partitioning: An Efficient Method for Continuous Nearest Neighbor Monitoring
Given a set of objects P and a query point q, a k nearest neighbor (k-NN) query retrieves the k objects in P that lie closest to q. Even though the problem is well-studied for sta...
Kyriakos Mouratidis, Marios Hadjieleftheriou, Dimi...
PR
2006
84views more  PR 2006»
13 years 7 months ago
Geometric visualization of clusters obtained from fuzzy clustering algorithms
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
Luis Rueda, Yuanquan Zhang
ICPP
2000
IEEE
14 years 8 days ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
AI
2009
Springer
14 years 2 months ago
An Ontology-Based Spatial Clustering Selection System
Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed re...
Wei Gu, Xin Wang, Danielle Ziébelin