Abstract to understand by analyzing the pattern of changes in value movements that can
dynamically vary over a given period with relative accuracy, an equipment is required based …

The problem of dimension reduction in multivariate data is how to obtain a smaller number
of variables but still be able to maintain most of the information contained in the data. One …

Fuzzy rules regarded as a good way to represent the knowledge in many type of problems. It
shorten the facts found in the problem at hand in form of IF… THEN, and the membership …

Data processing is very important in the development of information technology. Almost all
fields of work have information data. Data can be used to help analysis in work. At present …

With the rapid development of computer and other information technology and data storage
technology, more and more data are stored. Data mining technology can process the data in …

With the rapid development of computer technology, computer technology has been applied
to all aspects of the daily field, we are now in an era of data explosion. With the passage of …

K-Means is one method in data mining that can be used to perform grouping clustering of
data. Accurate data processing can be done by processing the data source. Each collection …

Centroid is the central point of data in the grouping process, it is necessary to analyze the
centroid in determining the initial value in the initial clustering process. So it is used as a …

Clustering is a method of the grouping which is done by looking at the similarities between
data in a data set. Fuzzy clustering is a clustering method that uses fuzzy set membership …

The aim of this research is to analyze the number of criminal cases in Indonesia by utilizing
unsupervised learning techniques. The unsupervised learning technique used is data …