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» EM in High Dimensional Spaces
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TASLP
2008
176views more  TASLP 2008»
14 years 10 months ago
Analysis of Minimum Distances in High-Dimensional Musical Spaces
Abstract--We propose an automatic method for measuring content-based music similarity, enhancing the current generation of music search engines and recommender systems. Many previo...
Michael Casey, Christophe Rhodes, Malcolm Slaney
NN
2002
Springer
144views Neural Networks» more  NN 2002»
14 years 10 months ago
Projective ART for clustering data sets in high dimensional spaces
A new neural network architecture (PART) and the resulting algorithm are proposed to
Yongqiang Cao, Jianhong Wu
VLDB
1999
ACM
224views Database» more  VLDB 1999»
15 years 2 months ago
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
Many applications require the clustering of large amounts of high-dimensional data. Most clustering algorithms, however, do not work e ectively and e ciently in highdimensional sp...
Alexander Hinneburg, Daniel A. Keim
SISAP
2008
IEEE
188views Data Mining» more  SISAP 2008»
15 years 4 months ago
High-Dimensional Similarity Retrieval Using Dimensional Choice
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...
Dave Tahmoush, Hanan Samet
PODS
2001
ACM
190views Database» more  PODS 2001»
15 years 10 months ago
On the Effects of Dimensionality Reduction on High Dimensional Similarity Search
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Charu C. Aggarwal