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CLASSIFICATION
2010
13 years 7 months ago
Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads
: The issue of determining "the right number of clusters" in K-Means has attracted considerable interest, especially in the recent years. Cluster intermix appears to be a...
Mark Ming-Tso Chiang, Boris Mirkin
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
14 years 4 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
CSB
2005
IEEE
223views Bioinformatics» more  CSB 2005»
14 years 3 months ago
Automatic Protein Function Annotation through Candidate Ortholog Clusters from Incomplete Genomes
Annotation of protein function often arises in the context of partially complete genomes but is not adequately addressed. We present an annotation method by extracting ortholog cl...
Akshay Vashist, Casimir A. Kulikowski, Ilya B. Muc...
WEBNET
2000
13 years 11 months ago
Models for User Access Patterns on the Web: Semantic Content versus Access History
: This work focuses on clustering a site into groups of documents that are predictive of future user accesses. Two approaches have been developed and tested. The first approach use...
Arun Ross, Charles B. Owen, Aditya Vailaya
EPIA
2011
Springer
12 years 9 months ago
Thematic Fuzzy Clusters with an Additive Spectral Approach
This paper introduces an additive fuzzy clustering model for similarity data as oriented towards representation and visualization of activities of research organizations in a hiera...
Susana Nascimento, Rui Felizardo, Boris Mirkin