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ISMIR
2004
Springer
204views Music» more  ISMIR 2004»
15 years 11 months ago
Automatic Genre Classification Using Large High-Level Musical Feature Sets
This paper presents a system that extracts 109 musical features from symbolic recordings (MIDI, in this case) and uses them to classify the recordings by genre. The features used ...
Cory McKay, Ichiro Fujinaga
AUSAI
2009
Springer
16 years 1 months ago
A Graph Distance Based Structural Clustering Approach for Networks
In the era of information explosion, structured data emerge on a large scale. As a description of structured data, network has drawn attention of researchers in many subjects. Netw...
Xin Su, Chunping Li
ICDM
2008
IEEE
118views Data Mining» more  ICDM 2008»
16 years 27 days ago
Extension of Partitional Clustering Methods for Handling Mixed Data
Clustering is an active research topic in data mining and different methods have been proposed in the literature. Most of these methods are based on the use of a distance measure ...
Yosr Naïja, Salem Chakhar, Kaouthar Blibech, ...
ICDM
2007
IEEE
179views Data Mining» more  ICDM 2007»
16 years 23 days ago
GDClust: A Graph-Based Document Clustering Technique
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
M. Shahriar Hossain, Rafal A. Angryk
PODS
2005
ACM
115views Database» more  PODS 2005»
16 years 6 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...