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 data preprocessing. If you''ve ever built a predictive model, worked on a ...
IEEE

Beta k-Means: Accelerating k-Means Using Probabilistic Cluster Filtering

Abstract: Lloyd k-means is a widely used clustering algorithm. The Hamerly and Annulus algorithms are faster versions of the Lloyd k-means, employing the triangle inequality to skip unnecessary ...
Hosted on MSN

What “as … as” really means — and how to use it correctly

They found a 2,000-year-old Roman tombstone in their backyard. Then the FBI showed up. Elon Musk says that in 10 to 20 years, work will be optional and money will be irrelevant thanks to AI and ...
IEEE

A Hybrid Model for Heart Disease Prediction using K-Means Clustering and Semi supervised Label Propagation

Abstract: In this paper, a hybrid model for heart disease prediction was developed by integrating unsupervised and semi-supervised learning techniques. Initially, baseline supervised were applied to ...
Seeking Alpha

MLPI: Collect A Double-Digit Yield From This MLP ETF, Without The K-1 Headache

Neos MLP & Energy Infrastructure High Income ETF offers high-yield, tax-efficient MLP exposure without K-1 forms, targeting income-focused investors. MLPI deploys an out-of-the-money covered call ...