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ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
15 years 11 months ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
CSE
2009
IEEE
15 years 11 months ago
Self-Organized Data-Energy-Aware Clustering and Routing for Wireless Sensor Networks
—In this paper we propose a clustering and routing scheme for wireless sensor networks based on a self-organizing approach. The aim of this approach is for nodes to perform an in...
Ehssan Sakhaee, Naoki Wakamiya, Masayuki Murata
PRIB
2009
Springer
100views Bioinformatics» more  PRIB 2009»
16 years 1 months ago
Evidence-Based Clustering of Reads and Taxonomic Analysis of Metagenomic Data
Abstract. The rapidly emerging field of metagenomics seeks to examine the genomic content of communities of organisms to understand their roles and interactions in an ecosystem. I...
Gianluigi Folino, Fabio Gori, Mike S. M. Jetten, E...
ICTAI
2007
IEEE
16 years 28 days ago
Conceptual Clustering Categorical Data with Uncertainty
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
Yuni Xia, Bowei Xi
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
15 years 11 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan