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  • The New Science Encyclopedia : Chemistry • Physics • Biology
    The New Science Encyclopedia : Chemistry • Physics • Biology


    Price: 18.99 £ | Shipping*: 3.99 £
  • Unsupervised Machine Learning for Clustering in Political and Social Research
    Unsupervised Machine Learning for Clustering in Political and Social Research

    In the age of data-driven problem-solving, applying sophisticated computational tools for explaining substantive phenomena is a valuable skill.Yet, application of methods assumes an understanding of the data, structure, and patterns that influence the broader research program.This Element offers researchers and teachers an introduction to clustering, which is a prominent class of unsupervised machine learning for exploring and understanding latent, non-random structure in data.A suite of widely used clustering techniques is covered in this Element, in addition to R code and real data to facilitate interaction with the concepts.Upon setting the stage for clustering, the following algorithms are detailed: agglomerative hierarchical clustering, k-means clustering, Gaussian mixture models, and at a higher-level, fuzzy C-means clustering, DBSCAN, and partitioning around medoids (k-medoids) clustering.

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  • Discover Biology, Chemistry & Physics
    Discover Biology, Chemistry & Physics


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  • Data Clustering : Algorithms and Applications
    Data Clustering : Algorithms and Applications

    Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities.Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches.It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validationIn this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas.They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.

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  • Where is the k-means clustering used?

    K-means clustering is used in various fields such as machine learning, data mining, pattern recognition, and image analysis. It is commonly used in market segmentation, customer profiling, document clustering, and image compression. Additionally, k-means clustering is also used in biological data analysis to group genes with similar expression patterns and in social network analysis to identify communities of users with similar interests or behaviors.

  • What is the best natural science: Math, Physics, Biology, Chemistry, or Computer Science?

    It is subjective to determine the "best" natural science as each field has its own unique contributions to our understanding of the natural world. Math provides the foundation for understanding and solving problems in all the other sciences. Physics explores the fundamental laws of nature and the behavior of matter and energy. Biology studies living organisms and their interactions with the environment. Chemistry focuses on the composition, structure, and properties of matter. Computer Science deals with the theory and practice of computation and information. Each of these sciences is valuable in its own right and contributes to our understanding of the world around us.

  • Which subject should be removed: Chemistry, Biology, Physics, or Computer Science?

    It is not advisable to remove any of these subjects as they all play a crucial role in providing a well-rounded education. Each subject offers unique perspectives and skills that are valuable for students' academic and professional development. Instead of removing a subject, it would be more beneficial to ensure that all students have access to a diverse range of subjects and resources to support their learning in each area.

  • Physics or Chemistry or Biology?

    It ultimately depends on personal interests and career goals. Physics deals with the study of matter, energy, and the fundamental forces of the universe. Chemistry focuses on the composition, structure, properties, and changes of matter. Biology is the study of living organisms and their interactions with each other and their environment. Each field offers unique perspectives and opportunities for exploration and discovery.

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  • Plasma Science and Technology : Lectures in Physics, Chemistry, Biology, and Engineering
    Plasma Science and Technology : Lectures in Physics, Chemistry, Biology, and Engineering

    Plasma Science and Technology An accessible introduction to the fundamentals of plasma science and its applications In Plasma Science and Technology: Lectures in Physics, Chemistry, Biology, and Engineering, distinguished researcher Dr. Alexander Fridman delivers a comprehensive introduction to plasma technology, including fulsome descriptions of the fundamentals of plasmas and discharges.The author discusses a wide variety of practical applications of the technology to medicine, energy, catalysis, coatings, and more, emphasizing engineering and science fundamentals.Offering readers illuminating problems and concept questions to support understanding and self-study, the book also details organic and inorganic applications of plasma technologies, demonstrating its use in nature, in the lab, and in both novel and well-known applications.Readers will also find: A thorough introduction to the kinetics of excited atoms and molecules Comprehensive explorations of non-equilibrium atmospheric pressure cold discharges Practical discussions of plasma processing in microelectronics and other micro-technologies Expert treatments of plasma in environmental control technologies, including the cleaning of air, exhaust gases, water, and soil Perfect for students of chemical engineering, physics, and chemistry, Plasma Science and Technology will also benefit professionals working in these fields who seek a contemporary refresher in the fundamentals of plasma science and its applications.

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  • Model-Based Clustering and Classification for Data Science : With Applications in R
    Model-Based Clustering and Classification for Data Science : With Applications in R

    Cluster analysis finds groups in data automatically.Most methods have been heuristic and leave open such central questions as: how many clusters are there?Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment.This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions.It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering.Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.

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  • Physics in Biology and Medicine
    Physics in Biology and Medicine

    A best-selling resource now in its fifth edition, Paul Davidovits’ Physics in Biology and Medicine provides a high-quality and highly relevant physics grounding for students working toward careers in the medical and related professions.The text does not assume a prior background in physics, but provides it as required.It discusses biological systems that can be analyzed quantitatively and demonstrates how advances in the life sciences have been aided by the knowledge of physical or engineering analysis techniques, with applications, practice, and illustrations throughout. Physics in Biology and Medicine, Fifth Edition, includes new material and corresponding exercises on many exciting developments in the field since the prior edition, including biomechanics of joint replacement; biotribology and frictional properties of biological materials such as saliva, hair, and skin; 3-D printing and its use in medicine; new materials in dentistry; microfluidics and its applications to medicine; health, fractals, and the second law of thermodynamics; bioelectronic medicine; microsensors in medicine; role of myelin in learning, cryoelectron microscopy; clinical uses of sound; health impact of nanoparticle in polluted air. This revised edition delivers a concise and engaging introduction to the role and importance of physics in biology and medicine.It is ideal for courses in biophysics, medical physics, and related subjects.

    Price: 78.99 £ | Shipping*: 0.00 £
  • Physics in Biology and Medicine
    Physics in Biology and Medicine

    **Selected for Doody’s Core Titles® 2024 in Medical Physics** Physics in Biology and Medicine, Sixth Edition includes new, revised material, and corresponding exercises on many exciting developments in the field.New sections cover biomechanics, biotribology, frictional properties of biological materials, 3-D printing and its use in medicine, new materials in dentistry, microfluidics, bioelectronic medicine, microsensors, and microscopy.This revised edition delivers helpful and engaging additions to the role and importance of physics in biology and medicine, including new coverage on metamaterials, metabolism, and environmental science.It is ideal for courses in biophysics, medical physics, and related subjects.

    Price: 76.95 £ | Shipping*: 0.00 £
  • Which topics would you most likely use in a small presentation about k-means clustering?

    In a small presentation about k-means clustering, I would likely cover the following topics: 1. Introduction to clustering and the concept of unsupervised learning. 2. Explanation of the k-means algorithm, including how it works and its key components such as centroids and clusters. 3. Steps involved in implementing k-means clustering, such as selecting the number of clusters (k) and evaluating the clustering results.

  • Which subjects are Chemistry, Physics, or Biology?

    Chemistry, Physics, and Biology are all subjects within the field of science. Chemistry focuses on the composition, structure, properties, and changes of matter. Physics deals with the study of matter, energy, motion, and force. Biology is the study of living organisms, their structure, function, growth, evolution, and distribution.

  • Should I keep Physics, Chemistry, and Biology?

    If you have a strong interest in science and plan to pursue a career in a field related to these subjects, then keeping Physics, Chemistry, and Biology would be beneficial. These subjects provide a solid foundation for many science-related careers and can open up a wide range of opportunities in fields such as medicine, research, engineering, and environmental science. However, if you do not enjoy these subjects or do not plan to pursue a career in a science-related field, you may want to consider focusing on subjects that align more with your interests and career goals.

  • What is better: Chemistry, Biology, or Physics?

    The answer to this question ultimately depends on individual interests and career goals. Chemistry focuses on the composition and properties of substances, as well as chemical reactions, making it ideal for those interested in medicine, environmental science, or research. Biology, on the other hand, explores living organisms and their interactions with the environment, making it suitable for those interested in healthcare, ecology, or genetics. Physics deals with the fundamental principles of matter and energy, making it a good fit for those interested in engineering, astronomy, or technology. Each of these disciplines offers unique insights and opportunities, so the "better" option depends on one's personal interests and aspirations.

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