| Document Date: 2003-04-20 20:33:01
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City Grid / Constraint / San Jose / / Company Artificial Neural Networks / Clustering Data Mining Techniques Pavel Berkhin Accrue Software Inc. / Clustering Using / Accrue Software / / / Facility library HMETIS / / IndustryTerm data mining applications / classic algorithms / Web analysis / Web applications / text mining / hierarchical algorithms / Typical applications / attributes algorithm / real-life data mining problems / hierarchical agglomerative algorithm / spatial database applications / image processing / genetic algorithms / realworld data mining applications / data mining / limitation different devices / particular applications / data mining community / intermediate solution / cluster systems / on clustering in data mining / / Person Duda / / Position Further Presentation Author / representative / Glance General / General / / ProvinceOrState California / / PublishedMedium Machine Learning / / Technology Partitioning algorithms / hierarchical agglomerative algorithm / CRM / artificial intelligence / attributes algorithm / Data modeling / Density-Based Algorithms / data mining / Relocation Algorithms / machine learning / 5 genetic algorithms / Image Processing / /
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Survey of Clustering Data Mining Techniques Pavel Berkhin Accrue Software, Inc. Clustering is a division of data into groups of similar objects. Representing the data by fewer clusters necessarily loses certain fine deta