找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

123456
返回列表
打印 上一主題 下一主題

Titlebook: Classification, Clustering, and Data Mining Applications; Proceedings of the M David Banks,Frederick R. McMorris,Wolfgang Gaul Conference p

[復(fù)制鏈接]
樓主: burgeon
51#
發(fā)表于 2025-3-30 11:28:08 | 只看該作者
https://doi.org/10.1057/9781137346667se objects that belong to the same class. We present some preliminary results, compared to results of other techniques, such as simulated annealing, genetic algorithms, tabu search, and k-means. Our results are as good as the best of the above methods.
52#
發(fā)表于 2025-3-30 13:18:54 | 只看該作者
53#
發(fā)表于 2025-3-30 20:34:22 | 只看該作者
Computer-Mediated Peer Response, show that spatial pyramids can converge towards geometrical pyramids. We indicate finally that spatial pyramids can give better results than Kohonen mappings and can produce a geometrical representation of conceptual lattices.
54#
發(fā)表于 2025-3-30 22:31:08 | 只看該作者
Clustering by Ant Colony Optimizationse objects that belong to the same class. We present some preliminary results, compared to results of other techniques, such as simulated annealing, genetic algorithms, tabu search, and k-means. Our results are as good as the best of the above methods.
55#
發(fā)表于 2025-3-31 03:39:16 | 只看該作者
56#
發(fā)表于 2025-3-31 06:06:55 | 只看該作者
Spatial Pyramidal Clustering Based on a Tessellation show that spatial pyramids can converge towards geometrical pyramids. We indicate finally that spatial pyramids can give better results than Kohonen mappings and can produce a geometrical representation of conceptual lattices.
57#
發(fā)表于 2025-3-31 12:04:10 | 只看該作者
Thinking Ultrametrically space. Ultrametric distance is defined from p-adic valuation. It is known that ultrametricity is a natural property of spaces that are sparse. Here we look at the quantification of ultrametricity. We also look at data compression based on a new ultrametric wavelet transform. We conclude with comput
58#
發(fā)表于 2025-3-31 13:37:14 | 只看該作者
59#
發(fā)表于 2025-3-31 21:09:16 | 只看該作者
60#
發(fā)表于 2025-4-1 01:31:11 | 只看該作者
A Dynamic Cluster Algorithm Based on , , Distances for Quantitative Datae representation of each cluster simultaneously. In its adaptive version, at each iteration of these algorithms there is a different distance for the comparison of each cluster with its representation. In this paper, we present a dynamic cluster method based on .. distances for quantitative data.
123456
返回列表
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-20 22:57
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
喀什市| 平陆县| 仙桃市| 彰化市| 聂拉木县| 漳州市| 铅山县| 突泉县| 鹿泉市| 府谷县| 惠东县| 尚志市| 托克逊县| 类乌齐县| 庆元县| 乌兰县| 莆田市| 广安市| 密山市| 哈巴河县| 江西省| 息烽县| 天镇县| 金溪县| 巴中市| 宜兰市| 保康县| 白玉县| 恭城| 上饶市| 东港市| 义乌市| 张家港市| 柳江县| 金阳县| 定襄县| 宜川县| 神池县| 道真| 乌鲁木齐县| 治县。|