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شرح 17 Clustering Iris Silhouette K Means Clustering | [معتمد]

دورة Orange Datamining for AI & Data Science

1 Introduction to Orange Datamining

2 Data Visualization

3 More Data Visualization and Controlling Colors

4 Classification Iris Training Accuracy

5 Classification Test Models

6 Classification ROC Analysis and More Models

7 Classification Training Prediction

8 Classification Titanic Training and Prediction

9 Classification Tree Pythagorean Viewer

10 Classification Correlations Ranking Feature Statistics

11 Classification Explain Models

12 Classification Polynomial Classification

13 Regression Cars Training Prediction

14 Regression Polynomial Regression

15 Regression House Training Prediction

16 Clustering Paint Data and K Means

17 Clustering Iris Silhouette K Means Clustering

18 Clustering KMeans Louvain DBSCAN Hierarchical Clustering

19 Clustering Distance Map Matrix

20 Dimensionality Reduction Principal Component Analysis

21 Dimensionality Reduction t SNE PCA MDA

22 Dimensionality Reduction Manifold non linear technique

23 Dimensionality Reduction Self Organizing Map

24 Image View and Clustering

25 Image Training Prediction

26 Images Nearest Neighbors

27 Numerical Dataset Nearest Neighbors

28 Stack Multiple Models or Ensemble Models

29 Save Load Models

30 Pivot Table

31 Visualizing Misclassifications

32 Outliers

33 Calibration Plot and Lift Curve

34 Calibrated Learner

35 Gradient Descent and Stochastic Gradient Descent

36 Constant Model

37 CN2 Model

38 Data Visualization Nomogram Diagram

39 Data Visualization Radviz Mosaic Sieve Line Diagrams

40 Data Visualization Multivariate FreeViz Linear Projection

41 Data Visualization Venn Diagram

42 Association Rules

43 Time Series Using ARIMA

44 Time Series Using VAR

45 Geo Maps

46 Text Mining Text and Corpus

47 Text Mining Text Clustering

48 Text Mining Text Classification

49 Text Mining Document Embeddings

50 Text Mining Import Documents Training Prediction

51 Text Mining Sentiment Analysis

52 Text Mining Sentiment Analysis for Documents

53 Text Mining Documents Semantic Analysis

54 Text Mining Concordance

55 Text Mining Word Enrichment

56 Text Mining Similarity Hashing

57 Text Mining Twitter

58 Text Mining Topic Modelling

59 Text Mining Words Distribution

60 Data Manipulation Unique Duplicate Detection