Sell Book Clustering And Application In Seismology - DEEPUBLISH best price

The Clustering Book And Applicability In Seismology Field - DEEPUBLISH Writer Prewit results Sri Sulistijowati Handajani Respatiwulan Isbn 978-623-02-3530-6 Size 15.5x23cm Pages X, 67 p.g. Years 2021 Mining data is a process that works one or more computer learning techniques (machine learning) to automatically analyze and extract knowledge (knowledge) The definition among them is an induction-based learning which is a process of forming concept definitions conducted by treating specific examples of the concepts studied. Knowledge Discovery in Database (KDD) is the application of statistics methods on mining data. Mining data is one step in KDD (Homp, 2013). Clustering is one of the techniques in mining data that aims to group a set of objects into several groups or clusters so that objects inside a group or cluster have characteristics similar while inter-cluster objects will have different characteristics. The book diskusses in detail about some techniques or methods in clustering, include hierarchical clustering, partitioning clustering, and density clustering. In addition, the book also presents its example of analysis with R software. An example of application is given for data in seismology field, namely earthquake data, which can be downloaded from unit State Geological Survey (USGS) websites. The book is presented with systematics, ranging from basic theories and concepts, algorithm, examples of calculations manually, then analysis with the help of R.