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BIBE
2003
IEEE
128views Bioinformatics» more  BIBE 2003»
13 years 10 months ago
A Repulsive Clustering Algorithm for Gene Expression Data
: - Facing the development of microarray technology, clustering is currently a leading technique to gene expression data analysis. In this paper, we propose a novel algorithm calle...
Chyun-Shin Cheng, Shiuan-Sz Wang
RSCTC
2004
Springer
148views Fuzzy Logic» more  RSCTC 2004»
13 years 10 months ago
Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
Dan Li, Jitender S. Deogun, William Spaulding, Bil...
PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
13 years 10 months ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
ISMIR
2004
Springer
115views Music» more  ISMIR 2004»
13 years 10 months ago
Timbre Classification Of A Single Musical Instrument
In order to map the spectral characteristics of the large variety of sounds a musical instrument may produce, different notes were performed and sampled in several intensity level...
Mauricio A. Loureiro, Hugo B. De Paula, Hani C. Ye...
FQAS
2004
Springer
126views Database» more  FQAS 2004»
13 years 10 months ago
Cluster Characterization through a Representativity Measure
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
Marie-Jeanne Lesot, Bernadette Bouchon-Meunier
CIARP
2004
Springer
13 years 10 months ago
Parallel Algorithm for Extended Star Clustering
In this paper we present a new parallel clustering algorithm based on the extended star clustering method. This algorithm can be used for example to cluster massive data sets of do...
Reynaldo Gil-García, José Manuel Bad...
MM
2004
ACM
99views Multimedia» more  MM 2004»
13 years 10 months ago
Locality preserving clustering for image database
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...
ISLPED
2004
ACM
169views Hardware» more  ISLPED 2004»
13 years 10 months ago
Delay optimal low-power circuit clustering for FPGAs with dual supply voltages
This paper presents a delay optimal FPGA clustering algorithm targeting low power. We assume that the configurable logic blocks of the FPGA can be programmed using either a high s...
Deming Chen, Jason Cong
WEBI
2005
Springer
13 years 10 months ago
A Method of Web Search Result Clustering Based on Rough Sets
Due to the enormous size of the web and low precision of user queries, finding the right information from the web can be difficult if not impossible. One approach that tries to ...
Chi Lang Ngo, Hung Son Nguyen
WEBI
2005
Springer
13 years 10 months ago
Improving Web Clustering by Cluster Selection
Web page clustering is a technology that puts semantically related web pages into groups and is useful for categorizing, organizing, and refining search results. When clustering ...
Daniel Crabtree, Xiaoying Gao, Peter Andreae