Recently, the world is experiencing generating the huge amount of data in different domains.
Data mining and Data analytics and are the practices used for analyzing data and extracting …

In this research work we have studied the behavior of k-means clustering technique and we
have made an analysis. We have mentioned the limitations and some methods to improve it …

The k-Means clustering algorithm is an old algorithm that has been intensely researched
owing to its ease and simplicity of implementation. Clustering algorithm has a broad …

Clustering algorithms are popular algorithms used in various fields of science and
engineering and technologies. The k-means is example unsupervised clustering algorithm …

The development of H/W and S/W has shortened the repetition cycle of new data generation
and produced various categories of data. Machine learning, in particular, attracts explosive …

K-Means algorithm is an unsupervised learning algorithm, which is widely used in machine
learning and other fields. It has the advantages of simple thought, good effect and easy …

The k-means algorithm has been widely used in the last several decades, but the efficiency
of Lloyd's k-means algorithm drops sharply in dealing with large-scale data scenarios. To …

K-means is one of the most simple and popular clustering algorithms, which implemented as
a standard clustering method in most of machine learning researches. The goal of K-means …

The k-means clustering algorithm is considered one of the most powerful and popular data
mining algorithms in the research community. However, despite its popularity, the algorithm …

Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …