In 2014, a novel clustering algorithm called Density Peak Clustering (DPC) was proposed in
journal Science, which has received great attention in many fields due to its simplicity and …

Recently, an increasingly pervasive trend in real-word applications is that the data are
collected from multiple sources or represented by multiple views. Owing to the powerful …

Document Information retrieval consists of finding the documents in a collection of
documents that are the most relevant to a user query. Information retrieval techniques are …

Abstract The rise of Big Data era calls for more efficient and effective Data Exploration and
analysis tools. In this respect, the need to support advanced analytics on Big Data is driving …

Clustering is a typical and important method to discover new structures and knowledge from
data sets. Most existing clustering methods need to know the number of clusters in advance …

A novel density-based clustering algorithm, called Density Peak Clustering (DPC), has
recently received great attention due to its efficiency in clustering performance and simplicity …

Extraction of underlying knowledge from monitoring data is beneficial to on-site
management during shield tunneling construction. However, it remains a challenge to …

The malignant melanoma is one of the most aggressive forms of skin cancer. Modern
Dermatology recognizes early diagnosis as a fundamental role in reducing the mortality rate …

Aiming at the problems that the initial cluster centers are randomly selected and the number
of clusters is manually determined in traditional clustering algorithm, which results in …

Abstract The k-Nearest Neighbor method is one of the most popular techniques for both
classification and regression purposes. Because of its operation, the application of this …