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LDA is a probabilistic topic modeling algorithm that is particularly well-suited for handling high-dimensional and sparse datasets. It is commonly used in text processing and natural language processing tasks to discover latent topics within a collection of documents. LDA can automatically identify patterns and relationships in large corpora, making it a valuable tool for analyzing unstructured textual data) The other options a) K-Nearest Neighbors, b) Decision Trees, c) Support Vector Machines, and (E) Linear Regression are not specifically designed for handling sparse and high-dimensional data, although they have their applications in various other data analysis tasks.
What is the term of office for the Chief Information Commissioner, and what is the eligibility condition?
A Civil Court has power to issue Commissions for?
Which of the following cases upheld ‘secularism’ as a basic feature of the Indian Constitution even before the word ‘secular’ was inserted in t...
As per the Banking Regulation Act which of the following statements relating to the acquisition of qualification shares by managing directors of a banki...
Contract for sale as under section 54 of the Transfer of Property Act, 1882 provides for_______.
Whoever with intent to cause, or knowing that he is likely to cause, wrongful loss or damage to the public or to any person, causes the destruction of a...
___________ under the Information Technology Act, 2000 means a person in whose name the electronic signature Certificate is issued?
As per the Insurance Act what is the nature of fire insurance business?
How is the delivery to bailee made?
All persons are competent to testify as witnesses subject to which of the following conditions?
