Overview of Clustering Techniques in Agriculture Data Mining
نویسندگان
چکیده
منابع مشابه
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A Survey of Clustering Data Mining Techniques
Clustering is the division of data into groups of similar objects. It disregards some details in exchange for data simplification. Informally, clustering can be viewed as data modeling concisely summarizing the data, and, therefore, it relates to many disciplines from statistics to numerical analysis. Clustering plays an important role in a broad range of applications, from information retrieva...
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Clustering is a division of data into groups of similar objects. Representing the data by fewer clusters necessarily loses certain fine details, but achieves simplification. It models data by its clusters. Data modeling puts clustering in a historical perspective rooted in mathematics, statistics, and numerical analysis. From a machine learning perspective clusters correspond to hidden patterns...
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Agriculture is the most significant application area particularly in the developing countries like India. Use of information technology in agriculture can change the situation of decision making and farmers can yield in a better way. Data mining plays a crucial role for decision making on several issues related to agriculture field. This paper discussed about the role of data mining in perspect...
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ژورنال
عنوان ژورنال: Agricultural Journal
سال: 2011
ISSN: 1816-9155
DOI: 10.3923/aj.2011.222.225