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K means cluster
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This study aimed to identify metabolic subtypes in ESCA, explore their relationship with immune land‑ scapes, and establish a metabolic index for accurate prognosis assessment. Methods Clinical, SNP, and RNA-seq data were collected from 80 ESCA patients from the TCGA database and RNAseq data from the GSE19417 dataset. Metabolic genes associated with overall survival (OS) and progression-free survival (PFS) were selected, and k-means clustering was performed.
16p
vikoch
27-06-2024
1
1
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The research aims to propose solutions for mergers between Vietnamese securities companies to improve the financial capacity of securities companies currently operating on the Vietnam Stock Exchange - VNX (HNX, HoSE and Upcom exchanges). Through research samples collected from 27 Vietnamese securities companies in the period from 2014 to 2021, secondary data are audited financial statements and financial safety reports. By using the quantitative research method of principal component analysis PCA (Principal Component Analysis) and K-means (cluster) analysis on SPSS 20 software.
8p
leminhvu111
07-06-2024
1
0
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Lecture Artificial intelligence: k-means clustering. This lecture provides students with content including: group together similar instances high intra-cluster similarity and low inter-cluster similarity; document clustering; customer segmentation; recommendation engines; image compression;... Please refer to the detailed content of the lecture!
20p
codabach1016
03-05-2024
2
0
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One of the natural consequences of lending practices by banks and credit institutions has been the creation of deferred and doubtful loans- a phenomenon that has become a major concern for these institutions and has had a negative impact on their revenue and expenditure. From an internal perspective, operating costs, work efficiency, profitability, customer service, branch rank, employee wages and salaries, and other qualitative indicators are significantly affected.
10p
longtimenosee10
26-04-2024
2
1
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This study proposes a method to enhance the accuracy of the MobileNetV3 deep learning model. The technique involves removing duplicate and outlier images to improve the efficiency of the MobileNetV3 model using K-Means.
8p
vigrab
02-02-2024
2
1
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Lecture "Applied data science: Clustering" includes content: Exemplary technique - K-means clustering; Exemplary technique - Hierarchical clustering; Practical issues in clustering; Case study;... We invite you to consult!
21p
kimphuong1144
04-12-2023
7
3
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Trong bài viết, dữ liệu được thu thập gồm 306 khách hàng đã từng sử dụng dịch vụ đặt xe công nghệ. Bộ dữ liệu này được phân tích thông qua các phương pháp phân cụm (clustering methods) trong thống kê và học máy không giám sát (unsupervised learning). Các thuật toán đó còn được gọi là K-means và Elbow.
11p
viintuit
06-09-2023
9
5
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Luận văn "Phát hiện cảnh báo bất thường trên hệ thống mạng và truyền thông dựa trên phân tích dữ liệu log" được hoàn thành với mục tiêu nhằm tìm hiểu về một số phương pháp lọc dữ liệu lớn; Tìm hiểu về một số thuật toán học máy về phân loại và phân cụm; Tìm hiểu thuật toán K-means clustering trong việc phân cụm dữ liệu lớn.
36p
trankora03
05-08-2023
5
4
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This research is carried out in a combination of two main techniques- principal component analysis and clustering- to present, analyze and extract useful knowledge from the accreditation results. At the same time, the paper points out the educational institutions’ strengths and weaknesses based on the standards, the relationship between different fields as well as compare the assessment levels among accreditation centers. This is the foundation to compare and improve the quality in educational institutions.
9p
nhanchienthien
25-07-2023
3
2
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Short-term load forecasting of buildings based on artificial neural network and clustering technique
In this paper, we propose an artificial neural network (ANN) based method to predict the energy use in campus buildings in short-term time series from one hour up to one week. The proposed method analyzes and extracts the features from the historical data of load and temperature to generate the prediction of future energy consumption in the building based on sparsified K-means. To evaluate the performance of the proposed approach, historical load data in hourly resolution collected from the campus buildings in Chonnam National University were used.
13p
nhanchienthien
25-07-2023
8
4
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This study proposed a novel clustering method that employs density peak-based fuzzy c-means (DP-FCM) and forensic-based investigation (FBI) algorithms. The proposed method (denoted as DP-FBI-FCM) aims to provide an effective clustering technique that can exploit the global optimal solution for custom segmentation problems.
6p
viwarmachine
01-07-2023
4
2
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In recent decades, remote sensing and Geography information of system (GIS) have been able to build thematic maps with high accuracy for managing and monitoring natural resources and the environment, including the solar radiation potential. Establishing solar potential maps from satellite data combined with natural conditions, topography, and land cover will effectively assist in planning solar energy development while helping to identify the appropriate technology and lowest cost.
10p
viironman
02-06-2023
5
3
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This paper proposed a new model of emergency controls load shedding based on the fast identification of the unstable state of the power system. K-means clustering algorithm divided the instability mode into the clusters. The results of analysis of this cluster were used as the basis for classification control.
9p
vidoctorstrange
06-05-2023
4
1
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Bài giảng Nhập môn Học máy và Khai phá dữ liệu - Chương 4+5: Phân cụm. Chương này cung cấp cho học viên những nội dung về: bài toán học có giám sát (Supervised learning) và bài toán học không giám sát (Unsupervised learning); giải thuật phân cụm; đánh giá chất lượng phân cụm (Clustering quality);... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!
32p
duonghoanglacnhi
07-11-2022
13
6
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Bài viết So sánh phương pháp nhận dạng hành động con người trong đoạn video quay bằng một camera dùng DTW và HMM tìm hiểu và so sánh hai thuật toán nhận dạng Dynamic Time Warping và mô hình Markov ẩn HMM.
5p
vikoenigsegg
29-09-2022
28
5
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This new textbook "Pattern Recognition and Machine Learning" reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Please refer to the content of part 2 of book.
380p
britaikridanik
05-07-2022
24
4
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The study site for this research was Shenandoah National Park (n = 1442). Using k-means clustering analysis, data were clustered into visitor groups and statistically compared to gain insight into patterns of responses. Visitors mostly reported neutral preferences for Wi-Fi access and cellular network service except for cell service park-wide in all national parks was reported as important
8p
lazzaro
30-12-2021
14
0
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Evaluation of occupational accidents in forestry in Europe and Turkey by k-means clustering analysis
The incidence rate of occupational accidents is an important indicator of occupational safety performance. The aim of this study was to classify the similarities and differences among 23 European Union (EU) countries along with Turkey in terms of various occupational accident evaluation criteria. This was achieved using the k-means clustering method on data from the forestry and logging sector between 2008 and 2017.
15p
hanthienngao
30-11-2021
15
1
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The Jaccard index was used to determine the new method’s accuracy performance. The results showed a significant improvement in the clustering of the developed algorithm than the standard K-PowerMeans. The results showed a significant improvement in the clustering of the developed algorithm than the standard K-PowerMeans.
23p
spiritedaway36
28-11-2021
25
5
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Bài viết "Nghiên cứu và thử nghiệm thuật toán phân cụm K-means" đưa ra các bước xây dựng thuật toán phân cục K-means và sử dụng thư viện có sẵn scikit-learn để chạy thử nghiệm thuật toán, đưa ra các hạn chế và ưu điểm của thuật toán này. Mời các bạn cùng tham khảo chi tiết nội dung bài viết!
6p
huyetthienthan
23-11-2021
25
1
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