Data Visualization Methods for Clustering - Prasad, K Rajendra;Reddy, B Eswara
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Data mining is a prominent interdisciplinary field, which is a confluence of database technology, machine learning, statistical analysis, and other related areas together in order to extract the valuable information from data. Clustering is one of the essential data mining techniques. It discovers the groups (or clusters) of data objects based on the similarity features of objects. Various distance metrics are used in clustering for finding the similarity between the objects. Clustering is widely used in various applications such as pattern recognition, image segmentation, speech recognition, video-analysis, and outlier detection.…mehr

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Produktbeschreibung
Data mining is a prominent interdisciplinary field, which is a confluence of database technology, machine learning, statistical analysis, and other related areas together in order to extract the valuable information from data. Clustering is one of the essential data mining techniques. It discovers the groups (or clusters) of data objects based on the similarity features of objects. Various distance metrics are used in clustering for finding the similarity between the objects. Clustering is widely used in various applications such as pattern recognition, image segmentation, speech recognition, video-analysis, and outlier detection.
Autorenporträt
Data visualization methods are playing a key role in data analysis and clustering. These methods are capable to assess the cluster tendency of various datasets. These methods are greatly succeeded in cluster analysis of bio-metric, speech, video and other applications.