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 ...
Visual Studio Magazine

K-Means Data Clustering from Scratch Using C#

The data, before and after k-means clustering, is shown in Figure 2. Notice that there is no inherent best clustering of data. The results look reasonable but many other clusterings are possible. The ...