What are distance measures in R statistics?
Answer / Murli Manohar Manjul
Distance measures in R statistics are used to calculate the distance between two data points or objects. Some common distance measures include: 1. Euclidean Distance: Measures the straight-line distance between two points in a multi-dimensional space. 2. Manhattan Distance (L1 Distance): Measures the sum of absolute differences between corresponding values in two vectors. 3. Chebyshev Distance (Maximum norm): Measures the maximum difference between corresponding values in two vectors.
| Is This Answer Correct ? | 0 Yes | 0 No |
How will you test that there is increased probability of a user to stay active after 6 months given that a user has more friends now?
Do you prefer python or r for text analytics?
Explain how to define the number of clusters in a clustering algorithm?
What is the difference between skewed and uniform distribution?
Can you write the formula to calculate r-square?
What is random forests and how is it different from decision trees?
Count the total number of trees in United States.
Differentiate between data modeling and database design?
What does _init_.py do?
How is a normal distribution different from chi square distribution?
What is advantage of using apply family of functions in r?
What is the salary for a data scientist?
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)