CastleRAT and CastleLoader, active since March 2025, spread malware via phishing and GitHub repos, enabling data theft.

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One of the key challenges of k-means clustering is the seed selection or the initial centroid estimation since the clustering result depends heavily on this choice. Alternatives such as k-means++ have ...

K-means is a commonly used algorithm in machine learning. It is an unsupervised learning algorithm. It is regularly used for data clustering. Only the number of clusters are needed to be specified for ...

About K means clustering algorithm in python Code (big data, AI) Resources Readme Activity Stars 0 stars Watchers 1 watching Forks 0 forks Report repository ...

BharatMaheshwari96 / IRIS-K_Means-PCA Star 0 Code Issues Pull requests clustering numpy jupyter-notebook pandas pca k-means iris principal-component-analysis iris-dataset ...

Our Data Science Lab guru explains how to implement the k-means technique for data clustering, or cluster analysis, which is the process of grouping data items so that similar items belong to the same ...