How Long to Read Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

How Long Does it Take to Read Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering?

It takes the average reader 3 hours and 10 minutes to read Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering by Laith Mohammad Qasim Abualigah

Assuming a reading speed of 250 words per minute. Learn more

Description

This book puts forward a new method for solving the text document (TD) clustering problem, which is established in two main stages: (i) A new feature selection method based on a particle swarm optimization algorithm with a novel weighting scheme is proposed, as well as a detailed dimension reduction technique, in order to obtain a new subset of more informative features with low-dimensional space. This new subset is subsequently used to improve the performance of the text clustering (TC) algorithm and reduce its computation time. The k-mean clustering algorithm is used to evaluate the effectiveness of the obtained subsets. (ii) Four krill herd algorithms (KHAs), namely, the (a) basic KHA, (b) modified KHA, (c) hybrid KHA, and (d) multi-objective hybrid KHA, are proposed to solve the TC problem; each algorithm represents an incremental improvement on its predecessor. For the evaluation process, seven benchmark text datasets are used with different characterizations and complexities. Text document (TD) clustering is a new trend in text mining in which the TDs are separated into several coherent clusters, where all documents in the same cluster are similar. The findings presented here confirm that the proposed methods and algorithms delivered the best results in comparison with other, similar methods to be found in the literature.

How long is Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering?

Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering by Laith Mohammad Qasim Abualigah is 186 pages long, and a total of 47,616 words.

This makes it 63% the length of the average book. It also has 58% more words than the average book.

How Long Does it Take to Read Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering Aloud?

The average oral reading speed is 183 words per minute. This means it takes 4 hours and 20 minutes to read Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering aloud.

What Reading Level is Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering?

Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering?

Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering by Laith Mohammad Qasim Abualigah is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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