TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Centroid-Free K-Means With Balanced Clustering

Abstract: Currently, a wide array of clustering algorithms have emerged, yet many approaches rely on K-means to detect clusters. However, K-means is highly sensitive to the selection of the initial ...
IEEE

A Topological-Indicators-Based k-Means Clustering Algorithm and Its Application in Time Series Data: A Case Study on Sea Level Variability in Peninsular Malaysia

Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...
The Verge

What TikTok’s new owners mean for your feed

The US version of TikTok is now under the control of Larry Ellison’s Oracle and a number of investment firms. The US version of TikTok is now under the control of Larry Ellison’s Oracle and a number ...
The New York Times

There’s a New American TikTok. What Does That Mean for You?

The popular short form video app has a new corporate structure in the United States, which could result in some changes for the 200 million Americans who use TikTok. By Emmett Lindner TikTok has new ...