️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.
Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
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, ...
Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...
1 Department of Applied Sciences, Intelligent Asset Reliability Centre, Institute of Emerging Digital Technologies, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia 2 Bursa Malaysia Berhad, ...
Before the 1975 release of Monty Python and the Holy Grail, the British comedy troupe Monty Python was barely known overseas. People in Britain knew the group, made up of Graham Chapman, John Cleese, ...
my_range = np.arange(4) # parameter của arange xác định bằng số lượng phần tử của dataset (=len(x))tương ứng với 4 vị trí trên trục hoành; nếu data set có n phần tử thì my_range = np.arange(n) # their ...
Abstract: This paper introduces a codebook-based trellis-coded quantization (TCQ) approach utilizing K-means clustering, designed specifically for massive multiple-input multiple-output systems. The ...
ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...
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