Question

Question: Which of the given Technique used for calculating
Document Data Proximity Measure ​

Answer 1

Answer:

Proximity measures refer to the Measures of Similarity and Dissimilarity. Similarity and Dissimilarity are important because they are used by a number of data mining techniques, such as clustering, nearest neighbour classification, and anomaly detection.

Explanation:

Answer 2

Measures of similarity and dissimilarity is the technique used for calculating document data proximity measures.

• Measures of similarity and dissimilarity are referred to as proximity measures. Similarity and dissimilarity are essential because they are utilized in a variety of data mining techniques, including clustering, closest neighbor classification, and anomaly detection.
• Proximity measurements are mostly mathematical strategies for determining the similarity/dissimilarity of data points.
• Typically, proximity is assessed in terms of similarity or dissimilarity, i.e., how similar or dissimilar two items are.