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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Graphs as Structural Models: The Application of Graphs and Multigraphs in Cluster Analysis

    Posted By: AvaxGenius
    Graphs as Structural Models: The Application of Graphs and Multigraphs in Cluster Analysis

    Graphs as Structural Models: The Application of Graphs and Multigraphs in Cluster Analysis by Erhard Godehardt
    English | PDF | 1988 | 224 Pages | ISBN : 3528063122 | 24.7 MB

    The advent of the high-speed computer with its enormous storage capabilities enabled statisticians as well as researchers from the different topics of life sciences to apply mul­ tivariate statistical procedures to large data sets to explore their structures. More and more, methods of graphical representation and data analysis are used for investigations. These methods belong to a topic of growing popUlarity, known as "exploratory data analysis" or EDA. In many applications, there is reason to believe that a set of objects can be clus­ tered into subgroups that differ in meaningful ways. Extensive data sets, for example, are stored in clinical cancer registers. In large data sets like these, nobody would ex­ pect the objects to be homogeneous. The most commonly used terms for the class of procedures that seek to separate the component data into groups are "cluster analysis" or "numerical taxonomy". The origins of cluster analysis can be found in biology and anthropology at the beginning of the century. The first systematic investigations in cluster analysis are those of K. Pearson in 1894. The search for classifications or ty­ pologies of objects or persons, however, is indigenous not only to biology but to a wide variety of disciplines. Thus, in recent years, a growing interest in classification and related areas has taken place. Today, we see applications of cluster analysis not only to. biology but also to such diverse areas as psychology, regional analysis, marketing research, chemistry, archaeology and medicine.

    Cluster Analysis: A Primer Using R

    Posted By: hill0
    Cluster Analysis: A Primer Using R

    Cluster Analysis
    A Primer Using R

    English | 2025 | ISBN: 9811297479 | 303 Pages | PDF (True) | 10 MB

    Master Cluster Analysis with Python and Pandas [2024]

    Posted By: lucky_aut
    Master Cluster Analysis with Python and Pandas [2024]

    Master Cluster Analysis with Python and Pandas [2024]
    Published 9/2024
    Duration: dt2h41m | .MP4 1920x1080, 30 fps(r) | AAC, 44100 Hz, 2ch | 10.8 GB
    Genre: eLearning | Language: English

    Master Cluster Analysis and Unsupervised Learning with Pandas and Python for Data Science and Machine Learning [2024]

    Advances in K-means Clustering: A Data Mining Thinking

    Posted By: AvaxGenius
    Advances in K-means Clustering: A Data Mining Thinking

    Advances in K-means Clustering: A Data Mining Thinking by Junjie Wu
    English | PDF (True) | 2012 | 187 Pages | ISBN : 3642298060 | 4.4 MB

    Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old" algorithm. This book addresses these challenges and makes novel contributions in establishing theoretical frameworks for K-means distances and K-means based consensus clustering, identifying the "dangerous" uniform effect and zero-value dilemma of K-means, adapting right measures for cluster validity, and integrating K-means with SVMs for rare class analysis. This book not only enriches the clustering and optimization theories, but also provides good guidance for the practical use of K-means, especially for important tasks such as network intrusion detection and credit fraud prediction. The thesis on which this book is based has won the "2010 National Excellent Doctoral Dissertation Award", the highest honor for not more than 100 PhD theses per year in China.

    Applied Multivariate Statistical Analysis

    Posted By: AvaxGenius
    Applied Multivariate Statistical Analysis

    Applied Multivariate Statistical Analysis by Wolfgang Härdle , Léopold Simar
    English | PDF | 2003 | 480 Pages | ISBN : 3540030794 | 29.6 MB

    Most of the observable phenomena in the empirical sciences are of multivariate nature. This book presents the tools and concepts of multivariate data analysis with a strong focus on applications. The text is devided into three parts. The first part is devoted to graphical techniques describing the distributions of the involved variables. The second part deals with multivariate random variables and presents from a theoretical point of view distributions, estimators and tests for various practical situations. The last part covers multivariate techniques and introduces the reader into the wide basket of tools for multivariate data analysis. The text presents a wide range of examples and 228 exercises.

    Advances in Intelligent Manufacturing and Mechatronics

    Posted By: AvaxGenius
    Advances in Intelligent Manufacturing and Mechatronics

    Advances in Intelligent Manufacturing and Mechatronics: Selected Articles from the Innovative Manufacturing, Mechatronics & Materials Forum (iM3F 2022), Pahang, Malaysia by Muhammad Amirul Abdullah, Ismail Mohd. Khairuddin, Ahmad Fakhri Ab. Nasir, Wan Hasbullah Mohd. Isa, Mohd. Azraai Mohd. Razman, Mohd. Azri Hizami Rasid, Sheikh Muhammad Hafiz Fahami Zainal, Barry Bentley, Pengcheng Liu
    English | EPUB (True) | 2023 | 343 Pages | ISBN : 9811987025 | 59.7 MB

    This book presents parts of the iM3F 2022 proceedings from the mechatronics as well as the intelligent manufacturing tracks. It highlights recent trends and key challenges in mechatronics as well as the advent of intelligent manufacturing engineering and technology that are non-trivial in embracing Industry 4.0 as well as addressing the UN Sustainable Development Goals. The book deliberates on conventional as well as advanced solutions that are utilized in the variety of mechatronics and intelligent manufacturing-based applications. The readers are envisaged to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.

    Clustering Analysis Masterclass using Python (2022 Edition)

    Posted By: lucky_aut
    Clustering Analysis Masterclass using Python (2022 Edition)

    Clustering Analysis Masterclass using Python [2022 Edition]
    Duration: 3h 10m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.84 GB
    Genre: eLearning | Language: English

    Become an expert and solve Real World Problems using Clustering Analysis and Python.

    Big Data Analytics : Cluster Analysis And Pattern Recognition. Examples With Matlab

    Posted By: readerXXI
    Big Data Analytics : Cluster Analysis And Pattern Recognition. Examples With Matlab

    Big Data Analytics :
    Cluster Analysis And Pattern Recognition. Examples With Matlab

    by C. Perez
    English | 2020 | ASIN: B08VND2L8Z | 574 Pages | ePUB | 3.7 MB

    Fuzzy Sets in Information Retrieval and Cluster Analysis

    Posted By: AvaxGenius
    Fuzzy Sets in Information Retrieval and Cluster Analysis

    Fuzzy Sets in Information Retrieval and Cluster Analysis by Sadaaki Miyamoto
    English | PDF | 1990 | 266 Pages | ISBN : 0792307216 | 20.5 MB

    The present monograph intends to establish a solid link among three fields: fuzzy set theory, information retrieval, and cluster analysis. Fuzzy set theory supplies new concepts and methods for the other two fields, and provides a common frame­ work within which they can be reorganized.

    Reverse Clustering: Formulation, Interpretation and Case Studies

    Posted By: AvaxGenius
    Reverse Clustering: Formulation, Interpretation and Case Studies

    Reverse Clustering: Formulation, Interpretation and Case Studies by Jan W. Owsiński
    English | EPUB | 2021 | 117 Pages | ISBN : 3030693589 | 15 MB

    This book presents a new perspective on and a new approach to a wide spectrum of situations, related to data analysis, actually, a kind of a new paradigm. Namely, for a given data set and its partition, whose origins may be of any kind, the authors try to reconstruct this partition on the basis of the data set given, using very broadly conceived clustering procedure.

    K-Means for Cluster Analysis and Unsupervised Learning in R

    Posted By: Sigha
    K-Means for Cluster Analysis and Unsupervised Learning in R

    K-Means for Cluster Analysis and Unsupervised Learning in R
    Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.09 GB
    Genre: eLearning Video | Duration: 32 lectures (3 hour, 9 mins) | Language: English

    The powerful K-Means Clustering Algorithm for Cluster Analysis and Unsupervised Machine Learning in R

    Reverse Clustering: Formulation, Interpretation and Case Studies

    Posted By: AvaxGenius
    Reverse Clustering: Formulation, Interpretation and Case Studies

    Reverse Clustering: Formulation, Interpretation and Case Studies by Jan W. Owsiński
    English | PDF | 2021 | 117 Pages | ISBN : 3030693589 | 3.7 MB

    This book presents a new perspective on and a new approach to a wide spectrum of situations, related to data analysis, actually, a kind of a new paradigm. Namely, for a given data set and its partition, whose origins may be of any kind, the authors try to reconstruct this partition on the basis of the data set given, using very broadly conceived clustering procedure.

    Cluster Analysis & Unsupervised Machine Learning in R

    Posted By: Sigha
    Cluster Analysis & Unsupervised Machine Learning in R

    Cluster Analysis & Unsupervised Machine Learning in R
    Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.52 GB
    Genre: eLearning Video | Duration: 37 lectures (4 hour, 3 mins) | Language: English

    Harness The Power Of Machine Learning For Unsupervised Learning & CLustering In R and Google - With Practical Examples

    Master Clustering Analysis for Data Science using Python

    Posted By: lucky_aut
    Master Clustering Analysis for Data Science using Python

    Master Clustering Analysis for Data Science using Python
    Duration: 5h 22m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.64 GB
    Genre: eLearning | Language: English

    Learn to implement clustering algorithms using Python with practical examples and datasets

    Mobile, Wireless and Sensor Networks: A Clustering Algorithm for Energy Efficiency and Safety

    Posted By: sasha82
    Mobile, Wireless and Sensor Networks: A Clustering Algorithm for Energy Efficiency and Safety

    Mobile, Wireless and Sensor Networks: A Clustering Algorithm for Energy Efficiency and Safety by Amine Dahane, Nasr-Eddine Berrached
    2019 | ISBN: 177188679X | English | 236 pages | PDF | 42 MB