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 …

BACKGROUND: Breast cancer is the most common malignancy in women. It is often
characterized by a lack of early symptoms, which results in late detection of the disease …

Clustering is an unsupervised learning approach used to group similar features using
specific mathematical criteria. This mathematical criterion is known as the objective function …

The k-means algorithm is known to have a time complexity of O (n 2), where n is the input
data size. This quadratic complexity debars the algorithm from being effectively used in large …

In this paper, we present a system based on feature extraction techniques and image
segmentation techniques for detecting and diagnosing abnormal patterns in breast …

The Internet of Things (IoT) is increasingly becoming a major challenge for network
administrators to manage connected devices and sensors ranging from smart lights to …

Scientists study trajectory data to understand trends in movement patterns, such as human
mobility for traffic analysis and urban planning. In this paper, we introduce a novel trajectory …

Clustering is a process of keeping similar data into groups. Clustering is an unsupervised
learning technique as every other problem of this kind; it deals with finding a structure in a …

A simple and fast k-medoids algorithm that updates medoids by minimizing the total distance
within clusters has been developed. Although it is simple and fast, as its name suggests, it …

Breast thermography is a physiological test that provides information based on the
temperature changes in breast. It records the temperature distribution of a body using the …