dendrogram的音標(biāo)為[?dendr?gr?m]，基本翻譯為“分形樹(shù)圖”。速記技巧可以考慮將單詞拆分記憶，如“dendr”可以聯(lián)想到“樹(shù)木”，“gram”表示圖譜，這樣組合起來(lái)記憶有助于記憶單詞。

Dendrogram這個(gè)詞源自希臘語(yǔ)詞根“dendron”，意為“樹(shù)”或“樹(shù)狀物”。這個(gè)詞在英語(yǔ)中通常用來(lái)描述一種用于表示分類或?qū)哟谓Y(jié)構(gòu)的樹(shù)狀圖形。

變化形式：在英語(yǔ)中，dendrogram通常寫(xiě)作dendrogram或dendrogramme，其復(fù)數(shù)形式為dendrograms。

相關(guān)單詞：

1. dendrite（樹(shù)突）：這個(gè)詞源自希臘語(yǔ)詞根“dendron”，意為“樹(shù)”，用來(lái)描述神經(jīng)元接收刺激的突起部分。

2. dendrochronology（樹(shù)木年輪學(xué)）：這個(gè)詞由“dendrochronology”和“tree-ring”組成，意為研究樹(shù)木年輪的科學(xué)，通常用于確定歷史時(shí)期的氣候變化。

3. dendrologic（樹(shù)理學(xué)的）：這個(gè)詞由“dendrologic”和“tree-logic”組成，意為研究樹(shù)木生長(zhǎng)和發(fā)育的邏輯或規(guī)律的科學(xué)。

4. dendrologist（樹(shù)學(xué)家）：這個(gè)詞由“dendrology”和“l(fā)ogist”組成，意為專門(mén)研究樹(shù)木的科學(xué)家。

5. dendroclimatology（樹(shù)木氣候?qū)W）：這個(gè)詞由“dendroclimatology”和氣候?qū)W組成，意為研究樹(shù)木生長(zhǎng)和分布與氣候關(guān)系的研究。

以上這些單詞都與樹(shù)狀結(jié)構(gòu)有關(guān)，反映了生物學(xué)、氣候?qū)W和分類學(xué)等多個(gè)領(lǐng)域的研究和應(yīng)用。這些單詞在描述生物系統(tǒng)、環(huán)境變化和分類學(xué)等方面具有重要意義。

dendrogram:

1. hierarchical clustering

2. dendrogram clustering

3. tree clustering

4. dendrogram analysis

5. dendrogram visualization

6. dendrogram visualization tool

7. dendrogram visualization software

例句：

1. The dendrogram shows the clustering of the data points clearly.

2. The dendrogram analysis helped us identify the key clusters in the data.

3. The visualization tool makes it easy to understand the dendrogram.

4. The software used for dendrogram visualization is very user-friendly.

英文小作文：

Hierarchical Clustering Using Dendrogram: A Practical Approach to Data Analysis

In this era of big data, it is essential to have a method that can effectively group and organize data into meaningful clusters. One such method is hierarchical clustering, which uses a dendrogram as its visualization tool. A dendrogram is a type of tree diagram that represents the relationships between data points based on their similarity or distance.

By examining the dendrogram, one can easily identify the key clusters in the data and understand how they are related to each other. This makes it a powerful tool for data analysis and visualization. Additionally, it is easy to use and requires minimal expertise to operate.

In conclusion, hierarchical clustering using a dendrogram is a practical and effective method for data analysis and organization. It provides a clear and intuitive representation of the data, making it an ideal tool for researchers and data analysts alike.