পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ডান সূচক× | ডেভিস-বোল্ডিন সূচক (Davies-Bouldin Index)× | ইনার্শিয়া (Inertia)× | |
|---|---|---|---|
| ক্ষেত্র | মডেল মূল্যায়ন | মডেল মূল্যায়ন | মডেল মূল্যায়ন |
| পরিবার | MCDM | MCDM | MCDM |
| উদ্ভবের বছর≠ | 1974 | 1979 | 1967 |
| প্রবর্তক≠ | Joseph C. Dunn | David L. Davies, Donald W. Bouldin | Stuart Lloyd, James MacQueen |
| ধরন≠ | Cluster quality metric | Cluster quality metric | Clustering quality metric |
| মৌলিক উৎস≠ | Dunn, J. C. (1974). Well-separated clusters and optimal fuzzy partitions. Journal of Cybernetics, 4(1), 95-104. DOI ↗ | Davies, D. L., & Bouldin, D. W. (1979). A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(2), 224-227. DOI ↗ | Lloyd, S. P. (1982). Least squares quantization in PCM. IEEE Transactions on Information Theory, 28(2), 129-137. DOI ↗ |
| অপর নাম≠ | Dunn's index, separation coefficient | DBI, Davies Bouldin index | WCSS, within-cluster sum of squares, cluster cohesion |
| সম্পর্কিত | 5 | 5 | 5 |
| সারসংক্ষেপ≠ | The Dunn Index, introduced by Joseph C. Dunn in 1974, is a metric that captures cluster quality by measuring the ratio of the minimum between-cluster distance to the maximum within-cluster diameter. Higher values indicate well-separated and compact clusters, with better clustering quality. | The Davies-Bouldin Index, introduced by Davies and Bouldin in 1979, is a metric for evaluating clustering quality based on the average similarity between each cluster and its most similar neighboring cluster. Lower values indicate better clustering, with a minimum of 0 representing perfectly separated, non-overlapping clusters. | Inertia, also called Within-Cluster Sum of Squares (WCSS), is a measure of cluster cohesion that quantifies how tightly points are grouped around their cluster centroids. Lower values indicate more compact, cohesive clusters. Inertia is the primary objective function for k-means clustering and has been a fundamental metric since the method's introduction. |
| ScholarGateডেটাসেট ↗ |
|
|
|