Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …

Data analysis is used as a common method in modern science research, which is across
communication science, computer science and biology science. Clustering, as the basic …

The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …

The problem of classification has been widely studied in the data mining, machine learning,
database, and information retrieval communities with applications in a number of diverse …

This paper introduces the problem of combining multiple partitionings of a set of objects into
a single consolidated clustering without accessing the features or algorithms that …

Clustering is a discovery process in data mining. It groups a set of data in a way that
maximizes the similarity within clusters and minimizes the similarity between two different …

During the last decade text mining has become a widely used discipline utilizing statistical
and machine learning methods. We present the tm package which provides a framework for …

Fast and high-quality document clustering algorithms play an important role in providing
intuitive navigation and browsing mechanisms by organizing large amounts of information …

Clustering of web documents enables (semi-) automated categorization, and facilitates
certain types of search. Any clustering method has to embed the documents in a suitable …

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