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ESWA
2010
158views more  ESWA 2010»
15 years 3 months ago
Interval competitive agglomeration clustering algorithm
1 In this study, a novel robust clustering algorithm, robust interval competitive agglomeration (RICA) clustering algorithm, is proposed to overcome the problems of the outliers, t...
Jin-Tsong Jeng, Chen-Chia Chuang, Chin-Wang Tao
INCDM
2007
Springer
97views Data Mining» more  INCDM 2007»
16 years 2 days ago
Clustering by Random Projections
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
Thierry Urruty, Chabane Djeraba, Dan A. Simovici
DMIN
2006
146views Data Mining» more  DMIN 2006»
15 years 7 months ago
A Comparison of Two Document Clustering Approaches for Clustering Medical Documents
Medical data is often presented as free text in the form of medical reports. Such documents contain important information about patients, disease progression and management, but ar...
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Be...
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
16 years 8 days ago
Non-redundant Multi-view Clustering via Orthogonalization
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy
CLUSTER
2003
IEEE
15 years 11 months ago
Optimized Implementation of Extendible Hashing to Support Large File System Directory
Extendible hashing is a kind of fast indexing technology; it provides with a way of storing structural data records so that each of them can be gotten very quickly. In this paper,...
Rongfeng Tang, Dan Meng, Sining Wu