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Verma et al., 2018 - Google Patents

Comparison of partitioning algorithms for categorical data in cluster

Verma et al., 2018

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Document ID
13666788369262714057
Author
Verma R
Puntambekar D
Publication year
Publication venue
Int J Eng Sci

External Links

Snippet

Data mining is the process of extract information from a large data set and transform it into an understandable form for further use. Clustering is important in data analysis and data mining applications. It is the task of grouping a set of objects so that objects in the same …
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Classifications

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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
    • G06F17/30424Query processing
    • G06F17/30533Other types of queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/30943Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
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    • G06F17/30575Replication, distribution or synchronisation of data between databases or within a distributed database; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F9/00Arrangements for programme control, e.g. control unit
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    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • GPHYSICS
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    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/20Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for hybridisation or gene expression, e.g. microarrays, sequencing by hybridisation, normalisation, profiling, noise correction models, expression ratio estimation, probe design or probe optimisation
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