It takes the average reader 4 hours and 15 minutes to read Recent Applications in Data Clustering by Harun Pirim
Assuming a reading speed of 250 words per minute. Learn more
Clustering has emerged as one of the more fertile fields within data analytics, widely adopted by companies, research institutions, and educational entities as a tool to describe similar/different groups. The book Recent Applications in Data Clustering aims to provide an outlook of recent contributions to the vast clustering literature that offers useful insights within the context of modern applications for professionals, academics, and students. The book spans the domains of clustering in image analysis, lexical analysis of texts, replacement of missing values in data, temporal clustering in smart cities, comparison of artificial neural network variations, graph theoretical approaches, spectral clustering, multiview clustering, and model-based clustering in an R package. Applications of image, text, face recognition, speech (synthetic and simulated), and smart city datasets are presented.
Recent Applications in Data Clustering by Harun Pirim is 248 pages long, and a total of 63,984 words.
This makes it 84% the length of the average book. It also has 78% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 49 minutes to read Recent Applications in Data Clustering aloud.
Recent Applications in Data Clustering is suitable for students ages 12 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.
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