2 binning data for k means models

31 10 K DV 2  Plastic Bags for Prevention of Hypothermia in preterm   LBW infants

31 10 K DV 2 Plastic Bags for Prevention of Hypothermia in preterm LBW infants

... 1Plastic Bags for Prevention of Hypothermia in Preterm & Low Birth Weight Infants. Alicia E Leadford, Jamie B Warren, Albert Manasyan, Elwyn Chomba, Ariel A Salas, Robert Schelonka, Waldemar ... intraventricular hemorrhage grade 3 or 4 or periventricular leukomalacia), necrotizing enterocolitis, bowel perforation, pulmonary hemorrhage, death before discharge. Trang 88 Trang 9A total of 104 infants ... birth. Trang 6• Infants at 26 - 36 weeks 6 days’ gestational age and/or with a birth weight of 1000 - 2500 g born at the University Teaching Hospital in Lusaka, Zambia, were randomized by using

Ngày tải lên: 19/10/2017, 23:50

14 83 0
PHÂN cụm dữ LIỆU với GIẢI THUẬT k MEANS (DATA CLUSTERING WITH k MEANS ALGORITHM)

PHÂN cụm dữ LIỆU với GIẢI THUẬT k MEANS (DATA CLUSTERING WITH k MEANS ALGORITHM)

... thuật toán k-means phụ thuộc vào việc khởi tạo tâm, nên khi khởi tạo tâm 1 cách ngẫu nhiên, chương trình cho ra kết quả khác nhau Cụ thể, trong những lần chạy thử chúng em thu được kết quả: giá ... thuộc tính của chúng Kết quả của thuật toán k-means là[7]: - k điểm trung tâm (centroid) của k nhóm (cluster) k điểm này có thể được dùng để tiếp tục gán nhãn cho dữ liệu mới khi chúng được thêm ... genData(obj,zonedata) Input: obj(obj.m, obj.k, obj.dim), zonedata Output: dataAray, true_lb Tạo dữ liệu giả lập ClassData m Dòng 11 Cả hai 2 PlotData(obj,b) Input:obj(obj.dim, obj.dataArray),b(b.learned)

Ngày tải lên: 12/06/2019, 14:33

20 334 2
IT Training  Advances in K-means Clustering_ A Data Mining Thinking [Wu 2012-07-10]

IT Training Advances in K-means Clustering_ A Data Mining Thinking [Wu 2012-07-10]

... on somedata-driven advances in K-means clustering K-means Clustering for High-Dimensional Data With the prosperity of infor-mation retrieval and bioinformatics, high-dimensional text data and ... 3218 2 The Uniform Effect of K-means Clustering(CV > 0.3) In other words, for these two cases, the clustering performance of K-means is often poor 2.2 The Uniform Effect of K-means Clustering ... Objective of Info-Kmeans 71 4.2.2 A Probabilistic View of Info-Kmeans 71 4.2.3 An Information-Theoretic View of Info-Kmeans 72 4.2.4 Discussions 74 4.3 The Dilemma of Info-Kmeans 74

Ngày tải lên: 05/11/2019, 13:06

187 0 0
Educational Data Clustering in a Weighted Feature Space Using Kernel K-Means and Transfer Learning Algorithms

Educational Data Clustering in a Weighted Feature Space Using Kernel K-Means and Transfer Learning Algorithms

... (SFA) outperforms k-k-means (CS) and kernel k-means (SFA) also outperforms kernel k-means (CS) The differences occur clearly at both measures and show that the learning process has performed better ... Weighted kernel Table 4 Results on the “Year 4” data set Method Objective Function Entropy Kernel k-means Self-taught Unsupervised TL with k-means (CS) 555.66 0.81 Kernel k-means Weighted ... Weighted kernel Table 3 Results on the “Year 3” data set Method Objective Function Entropy Kernel k-means Self-taught Unsupervised TL with k-means (CS) 608.87 1.05 Kernel k-means Weighted

Ngày tải lên: 29/01/2020, 23:48

10 59 0
Comparison of kNN and k-means optimization methods of reference set selection for improved CNV callers performance

Comparison of kNN and k-means optimization methods of reference set selection for improved CNV callers performance

... random kNN k-means reference set selection for sample #1 CODEX CNVkit exomeCopy CNV calling for sample #1 reference set for sample #1 random kNN k-means CODEX CNVkit ExomeCopy random kNN k-means ... random kNN k-means all all all random kNN k-means reference set selection for sample #n CODEX CNVkit exomeCopy CNV calling for sample #n reference set for sample #n random kNN k-means CODEX CNVkit ... WGS data ) all all all random kNN k-means reference set selection for sample #2 CODEX CNVkit exomeCopy CNV calling for sample #2 reference set for sample #2 random kNN k-means CODEX CNVkit ExomeCopy

Ngày tải lên: 25/11/2020, 12:28

10 10 0
Educational Data Clustering in a Weighted Feature Space Using Kernel K-Means and Transfer Learning Algorithms

Educational Data Clustering in a Weighted Feature Space Using Kernel K-Means and Transfer Learning Algorithms

... (SFA) outperforms k-k-means (CS) and kernel k-means (SFA) also outperforms kernel k-means (CS) The differences occur clearly at both measures and show that the learning process has performed better ... Weighted kernel Table 4 Results on the “Year 4” data set Method Objective Function Entropy Kernel k-means Self-taught Unsupervised TL with k-means (CS) 555.66 0.81 Kernel k-means Weighted ... Weighted kernel Table 3 Results on the “Year 3” data set Method Objective Function Entropy Kernel k-means Self-taught Unsupervised TL with k-means (CS) 608.87 1.05 Kernel k-means Weighted

Ngày tải lên: 27/01/2021, 06:20

10 12 0
Educational data clustering in a weighted feature space using kernel k means and transfer learning algorithms

Educational data clustering in a weighted feature space using kernel k means and transfer learning algorithms

... (SFA) outperforms k-k-means (CS) and kernel k-means (SFA) also outperforms kernel k-means (CS) The differences occur clearly at both measures and show that the learning process has performed better ... Weighted kernel Table 4 Results on the “Year 4” data set Method Objective Function Entropy Kernel k-means Self-taught Unsupervised TL with k-means (CS) 555.66 0.81 Kernel k-means Weighted ... Weighted kernel Table 3 Results on the “Year 3” data set Method Objective Function Entropy Kernel k-means Self-taught Unsupervised TL with k-means (CS) 608.87 1.05 Kernel k-means Weighted

Ngày tải lên: 17/03/2021, 20:30

10 3 0
Bài 8  Slide Unsupervised Learning: K­‐Means   Gaussian Mixture Models

Bài 8 Slide Unsupervised Learning: K­‐Means Gaussian Mixture Models

... obtain, so we only get a few knowledge discovery. Trang 3K- ‐Means ClusteringTrang 4Clustering DataTrang 5K- ‐Means ClusteringK- ‐Means ( k , X ) • Randomly choose k cluster center locations ... Re- estimate ‐ the cluster centroids based on the data assigned to each cluster Trang 6K- ‐Means ClusteringK- ‐Means ( k , X ) • Randomly choose k cluster center locations (centroids) • Loop ... Re- estimate ‐ the cluster centroids based on the data assigned to each cluster Trang 7K- ‐Means ClusteringK- ‐Means ( k , X ) • Randomly choose k cluster center locations (centroids) • Loop

Ngày tải lên: 18/10/2022, 09:50

32 11 0
Alternative Panel Data Estimators for Stochastic Frontier Models

Alternative Panel Data Estimators for Stochastic Frontier Models

... this back and forth procedure willconverge to the true maximum of the log likelihood function because the Hessian is not blockdiagonal [See Oberhofer and Kmenta (1974) for theoretical background.] ... the following Monte Carloanalysis: Data for the study are taken from the Commercial Bank Holding Company Databasemaintained by the Chicago Federal Reserve Bank Data are based on the Report of Condition ... Stevenson (1980) andKumbhakar and Lovell (2000) for details.) Our work is ongoing, but to date, we have had almost nosuccess with this model It appears that the likelihood is too volatile for Newton’s

Ngày tải lên: 18/10/2022, 18:54

48 5 0
grain surface models and data for astrochemistry

grain surface models and data for astrochemistry

... with re-actions and the corresponding rate data exist, of which the UMIST Database for Astrochem-istry (UDfA) and the KInetic Database for Astrochemistry (KIDA) are the most widely used including ... together during a Lorentz Center Workshop (“Grain-Surface Networks and Data forAstrochemistry”) to identify the needs of modelers for their models, the appropriate for-malisms to use, and to identify ... continue to work towards filling this large gap in the necessary input data for astrochemical models,especially for radical species, which, to date, have remained largely unstudied 7 Bulk Processes

Ngày tải lên: 04/12/2022, 10:35

58 1 0
IEC 60909 2 electrical equipment   data for short circuit current calculations

IEC 60909 2 electrical equipment data for short circuit current calculations

... general Ukr values for auto-transformers are lower The Ukr for network transformers in the UK is, on average, twice as large as those reported from other countries A The relationship for two- ... three-winding network transformers is as follows: X

Ngày tải lên: 04/04/2014, 11:57

86 578 8
Báo cáo sinh học: " Research Article A New-Fangled FES-k -Means Clustering Algorithm for Disease Discovery and Visual Analytics" pdf

Báo cáo sinh học: " Research Article A New-Fangled FES-k -Means Clustering Algorithm for Disease Discovery and Visual Analytics" pdf

... well The runtime for the standard k- means and MacQueen’s methods increased greatly, while the time for FES -k- means increased only slightly At 50 percent, for both the standard k- means and MacQueen’s ... 40 50 60 % of data (a) 70 80 90 100 % of data (b) 14 12 MSE (dB) 10 10 20 30 40 50 60 % of data 70 80 90 100 k- means MacQueen FES -k- means (c) Figure 3: A comparison of three k- means algorithms ... algorithm, compilation, and fieldwork Jameson Lwebuga-Mukasa for asthma datasets and Anne Evens and Patrick MacRoy for BLL dataset Special thanks to anonymous reviewers for offering their insightful...

Ngày tải lên: 21/06/2014, 16:20

15 411 0
Estimation of intra class correlation parameter for correlated binary data in common correlated models

Estimation of intra class correlation parameter for correlated binary data in common correlated models

... − k) 2 + 2N + 4k − k k π(1 − π) N (N − k) 2 n2i N π(1 − π) (3N − 2k) (N − 2k) − N (N − k) 2 + + 4− π(1 − π) n2i − n2i )) n2i )) Or, in form of the cubic function of ρ,it is: × ni 2N − k ρ (N − k) 2 ... estimate Note that such kind of data will be rejected: • Si = 0, for i=1,2, ,k; • Si = ni , for i=1,2, ,k; • ni = 1, for i=1,2, ,k; It is reasonable to reject these kinds of data since we are ... 1)2 n2A (1 − ρ) × (N − k) 2 [1 + (k − 1)nA (1 − ρ) + ρ(N − 1)]4 N 2N k + k − π(1 − π) +N −6 π(1 − π) ni + N2 −3 π(1 − π) n2i +ρ − N (2N − k) + k( 2N − k) − π(1 − π) +ρ2 (N − k) 2 (N − 2.5.2 n2i )...

Ngày tải lên: 05/10/2015, 21:28

77 288 0
Data Warehouse Architecture and Models

Data Warehouse Architecture and Models

... Warehouse Data    Fact data - Measures Dimension data - Query drivers Summary data - Pre-calculated data Fact Data and Tables   Many fact tables in the warehouse The bulk of the warehouse data ... Design for simplicity Design for relevance  Simple star model  Flexible snowflake model Summary      Enterprise data warehouses Data marts  Independent  Dependant Warehouse data Data models ... start point for analysis An information framework for the warehouse A guide to integration Sales Accounts Receivable Marketing  HR Accounts Payable Inventory Never use directly for the warehouse...

Ngày tải lên: 25/04/2013, 20:33

26 422 0
Changes of temperature data for energy studies over time and their impact on energy consumption and CO2 emissions. The case of Athens and Thessaloniki – Greece

Changes of temperature data for energy studies over time and their impact on energy consumption and CO2 emissions. The case of Athens and Thessaloniki – Greece

... increase ranges from 0.66 K (2.82%) in September to 1.92 K (7.85%) in June for Athens and from 0.61 K (2.36%) in July to 0.91 K (3.91%) in June for Thessaloniki Only in Thessaloniki in September the ... 0.23 K (1.04%) During winter, the increase ranges from 0.29 K (3.08%) in January to 1.17 K (12.52%) in February for Athens and from 0.21 K (3.43%) in January to 0.98 K (14.21%) in February for ... emissions (kg) of the model residential building for Athens, by the use of diesel oil for heating and electricity for cooling demands Period Oil [kgCO2] Electricity [kgCO2] Total (Oil+Electricity) [kgCO2]...

Ngày tải lên: 05/09/2013, 16:10

14 548 0
Nghiên cứu thuật toán gom cụm K-means và cài đặt chương trình Demo (C#)

Nghiên cứu thuật toán gom cụm K-means và cài đặt chương trình Demo (C#)

... cụm cụm khác CHƯƠNG IV :DEMO ỨNG DỤNG THUẬT TOÁN K- MEANS Công Nghệ Phần Mềm K5 3 16 | P a g e Chạy thuật toán K- Means với hệ màu RGB Chạy Thuật toán K- Means với hệ HSV Công Nghệ Phần Mềm K5 3 17 ... người dùng web III.CÁC K THUẬT PHÂN CỤM Công Nghệ Phần Mềm K5 3 9|Page CHƯƠNG II: THUẬT TOÁN K- MEANS K- Means thuật toán lặp đơn giản để chia Cơ Sở Dữ Liệu thành k nhóm (k người dùng định ).Được ... ,công việc tổ chức ,doanh nghiệp cá nhân Một khuynh hướng k thuật đời k thuật khai phá liệu k thuật Data mining (Khai phá liệu).Trong phương pháp khai phá liệu có phương pháp gọi Clustering...

Ngày tải lên: 27/11/2013, 23:40

16 3,5K 27
Tìm hiểu thuật toán gom cụm k - means và cài đặt chương trình minh họa

Tìm hiểu thuật toán gom cụm k - means và cài đặt chương trình minh họa

... cụm K liệu phân cụm lớn 2.3 - Ứng dụng thuật toán K- Means Trong ví dụ này, giới thiệu cách xây dựng KnowledgeFlow để triển khai k thuật phân cụm dựa thuật toán K- Means Data Mining Software WeKa ... cụm……………… PHẦN II: THUẬT TOÁN K- MEANS 2.1 - Giới thiệu thuật toán K- MEANS …… 2.2 - Thuật toán K- MEANS 2.3 - Ứng dụng thuật toán K- MEANS 2.4 - Một số biến dạng thuật toán K- MEAN PHẦN I : GIỚI THIỆU ... toán K- means : Thuật toán k- means mô tả cụ thể sau: Input: K, liệu n mẫu CSDL Output: Một tập gồm K cluster cho cực tiểu tổng sai-số vuông Thuật toán: Bước 1: Chọn ngẫu nhiên K mẫu vào K cluster...

Ngày tải lên: 30/11/2013, 14:03

20 6,5K 34
Tài liệu E-business 2.0: Roadmap for Success! pdf

Tài liệu E-business 2.0: Roadmap for Success! pdf

... What does this mean for you – Looking Deep Key Take-Aways © E-Business Strategies, Inc 22 - E-Business Ten Rules of E-business Rule Technology is no longer an afterthought in forming business strategy, ... ebusiness solutions Synthesis Information Technology (IT) changes, but management principles persist! © E-Business Strategies, Inc 4- E-Business Framework for Book Business Strategies and Processes ... E-business? E-Business Success Stories Ten Rules of E-business What does this mean for managers – Looking Deep Key Take-Aways © E-Business Strategies, Inc 6- E-Business E-commerce Refers to selling...

Ngày tải lên: 09/12/2013, 17:22

52 574 0
Tài liệu E-business 2.0: Roadmap for Success - Chapter 2 docx

Tài liệu E-business 2.0: Roadmap for Success - Chapter 2 docx

... Computing and Information Appliances © e-Business Strategies, Infrastructure Convergence: Voice, Data and Video • Voice, data, video on same network – Goal: Unification of voice and data to support ... items – Picking individual items – No bulk shipments, individually packed • It’s the supply chain, Stupid! © e-Business Strategies, Online Fulfillment • Manufacturer sends less-than truckloads (LTL) ... sends less-than truckloads (LTL) to warehouse • Cases stored in pallet racking • Cases moved to pick area • Workers pick items out of case, put in box, send to customer via FedEx, USPS, UPS ©...

Ngày tải lên: 09/12/2013, 17:22

28 426 1
Tài liệu E-business 2.0: Roadmap for Success - Chapter 3 docx

Tài liệu E-business 2.0: Roadmap for Success - Chapter 3 docx

... cost; reach new customers Revenue models: – % of transaction, subscription, mark-up © e-Business Strategies, The e-Market Maker Pattern Major role for e-Market makers in industries with these characteristics: ... services they seek – Winner will take all! © e-Business Strategies, Table of Contents e-Business Patterns: The Structural Foundation e-Channel Click-and-Brick e-Portal e-Market Maker Pure-E “Digital ... Maker Pure-E “Digital Products” © e-Business Strategies, The Click-and-Brick Pattern Brick and mortar + Click and order = Click and Brick The C&B pattern allows an existing offline business to profit...

Ngày tải lên: 09/12/2013, 17:22

37 504 1
w