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AI ML>Unsupervised Learnin…>Model Development

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Model Development

26 terms

Data Preprocessing

9 terms

Missing Value Imputation
Outlier Treatment
Feature Scaling
Standardization
Normalization
One-Hot Encoding
Feature Engineering
Whitening
Cluster Tendency Assessment

Distance And Similarity Measures

12 terms

Distance Metric
Euclidean Distance
Manhattan Distance
Cosine Similarity
Jaccard Similarity
Mahalanobis Distance
Correlation Distance
Dynamic Time Warping (DTW)
Bregman Divergence
Kullback-Leibler (KL) Divergence
Wasserstein Distance
Kernel Similarity

Scalability And Efficiency

5 terms

Approximate Nearest Neighbor Search
Locality-Sensitive Hashing (LSH)
Mini-Batch Processing
Online Clustering
Random Projections

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