Visual Studio Magazine

K-Means Data Clustering Using C#

Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...
TechRepublic

Implementation of an Entropy Weighted K-Means Algorithm for High Dimensional Sparse Data

In this paper, the authors contain a partitional based algorithm for clustering high-dimensional objects in subspaces for iris gene dataset. In high dimensional data, clusters of objects often exist ...
Nasdaq

WiMi Developed K-Means Algorithm-Based Technology to Improve Security and User Trust in Bitcoin Trading Platforms

BEIJING, Feb. 15, 2024 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that a ...
Investopedia

What Is Data Mining? How It Works, Benefits, Techniques, and Examples

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...
eWeek

What is Data Mining?

Data mining is the process of transforming raw data into actionable information for business, typically using data mining software solutions. Written by eWEEK content and product recommendations are ...
Visual Studio Magazine

K-Means Data Clustering Using C#

Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...